Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον."

Transcript

1 ΓΑΤΕ 2016 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. 1 Q. 5 carry one mark each. Θ.1 Αν αππλε χοστσ Ρσ. 10. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. (Β) Τηε πριχε οφ αν αππλε ισ mορε τηαν ονιον. (Χ) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν τηατ οφ αν ονιον. (D) Αππλεσ αρε mορε χοστλιερ τηαν ονιονσ. Θ.2 Τηε Βυδδηα σαιδ, Ηολδινγ ον το ανγερ ισ λικε γρασπινγ α ηοτ χοαλ ωιτη τηε ιντεντ οφ τηροωινγ ιτ ατ σοmεονε ελσε; ψου αρε τηε ονε ωηο γετσ βυρντ. Σελεχτ τηε ωορδ βελοω ωηιχη ισ χλοσεστ ιν mεανινγ το τηε ωορδ υνδερλινεδ αβοϖε. (Α) βυρνινγ (Β) ιγνιτινγ (Χ) χλυτχηινγ (D) φλινγινγ Θ.3 M ηασ α σον Q ανδ α δαυγητερ R. Ηε ηασ νο οτηερ χηιλδρεν. E ισ τηε mοτηερ οφ P ανδ δαυγητερ ιν λαω οφ M. Ηοω ισ P ρελατεδ το M? (Α) P ισ τηε σον ιν λαω οφ M. (Β) P ισ τηε γρανδχηιλδ οφ M. (Χ) P ισ τηε δαυγητερ ιν λαω οφ M. (D) P ισ τηε γρανδφατηερ οφ M. Θ.4 Τηε νυmβερ τηατ λεαστ φιτσ τηισ σετ: (324, 441, 97 ανδ 64) ισ. (Α) 324 (Β) 441 (Χ) 97 (D) 64 Θ.5 Ιτ τακεσ 10 σ ανδ 15 σ, ρεσπεχτιϖελψ, φορ τωο τραινσ τραϖελλινγ ατ διφφερεντ χονσταντ σπεεδσ το χοmπλετελψ πασσ α τελεγραπη ποστ. Τηε λενγτη οφ τηε φιρστ τραιν ισ 120 m ανδ τηατ οφ τηε σεχονδ τραιν ισ 150 m. Τηε mαγνιτυδε οφ τηε διφφερενχε ιν τηε σπεεδσ οφ τηε τωο τραινσ (ιν m/σ) ισ. (Α) 2.0 (Β) 10.0 (Χ) 12.0 (D) /3

2 ΓΑΤΕ 2016 Q. 6 Q. 10 carry two marks each. Γενεραλ Απτιτυδε ΓΑ Σετ 4 Θ.6 Τηε ϖελοχιτψ ς οφ α ϖεηιχλε αλονγ α στραιγητ λινε ισ mεασυρεδ ιν m/σ ανδ πλοττεδ ασ σηοων ωιτη ρεσπεχτ το τιmε ιν σεχονδσ. Ατ τηε ενδ οφ τηε 7 σεχονδσ, ηοω mυχη ωιλλλ τηε οδοmετερ ρεαδινγ ινχρεασε βψ (ιν m)? (Α) 0 (Β) 3 Θ.7 Τηε οϖερωηελmινγ νυmβερ οφ πεοπλε ινφεχτεδ ωιτη ραβιεσ ιν Ινδια ηασ βεεν φλαγγεδ βψ τηε Wορλδ Ηεαλτη Οργανιζατιον ασ α σουρχε οφ χονχερν. Ιτ ισ εστιmατεδ τηαττ ινοχυλατινγ 70% οφ πετσ ανδ στραψ δογσ αγαινστ ραβιεσ χαν λεαδ το α σιγνιφιχαντ ρεδυχτιον ιν τηε νυmβερ οφ πεοπλε ινφεχτεδ ωιτη ραβιεσ. Wηιχη οφ τηε φολλοωινγ χαν βε λογιχαλλψ ινφερρεδ φροm τηε αβοϖε σεντενχεσ? (Α) Τηε νυmβερ οφ πεοπλε ιν Ινδια ινφεχτεδ ωιτη ραβιεσ ισ ηιγη. (Β) Τηε νυmβερ οφ πεοπλε ιν οτηερ παρτσ οφ τηε ωορλδ ωηο αρε ινφεχτεδ ωιτη ραβιεσ ισ λοω. (Χ) Ραβιεσ χαν βε εραδιχατεδ ιν Ινδια βψ ϖαχχινατινγ 70% οφ στραψ δογσ. (D) Στραψ δογσ αρε τηε mαιν σουρχε οφ ραβιεσ ωορλδωιδε. Θ.8 Α φλατ ισ σηαρεδ βψ φουρ φιρστ ψεαρ υνδεργραδυατε στυδεντσ. Τηεψ αγρεεδ το αλλοω τηε ολδεστ οφ τηεm το ενϕοψ σοmε εξτρα σπαχε ιν τηε φλατ. Μανυ ισ τωο mοντησ ολδερ τηαν Σραϖαν, ωηο ισ τηρεε mοντησ ψουνγερ τηαν Τριδεεπ. Παϖαν ισ ονε mοντη ολδερ τηαν Σραϖαν. Wηο σηουλδ οχχυπψ τηε εξτρα σπαχε ιν τηε φλατ? (Χ) 4 (D) 5 (Α) Μανυ (Β) Σραϖαν (Χ) Τριδεεπ (D) Παϖαν Θ.9 Φινδ τηε αρεα βουνδεδ βψ τηε λινεσ 3ξ+2ψ=14, 2ξ 3ψ=5 ιν τηε φιρστ θυαδραντ. (Α) (Β) (Χ) (D) /3

3 ΓΑΤΕ 2016 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Θ.10 Α στραιγητ λινε ισ φιτ το α δατα σετ (λν x, y). Τηισ λινε ιντερχεπτσ τηε αβσχισσα ατ λν x = 0.1 ανδ ηασ α σλοπε οφ Wηατ ισ τηε ϖαλυε οφ y ατ x = 5 φροm τηε φιτ? (Α) (Β) (Χ) (D) END OF THE QUESTION PAPER 3/3

4 List of Symbols Notations and Data iid independent and identically distributed Normal distribution with mean and variance Expected value mean of the random variable the greatest integer less than or equal to Set of integers Set of integers modulo ν Set of real numbers Set of complex numbers ν dimensional Euclidean space Usual metric δ on is given by Normed linear space of all squaresummable real sequences Set of all real valued continuous functions on the interval Conjugate transpose of the matrix Μ Transpose of the matrix Μ Ιδ )dentity matrix of appropriate order Range space of Μ Null space of Μ Orthogonal complement of the subspace W MA 1/16

5 Θ. 1 Θ. 25 χαρρψ ονε mαρκ εαχη. Q Let be a basis of Consider the following statements P and Q P is a basis of Q is a basis of Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q Q Consider the following statements P and Q P )f then M is singular. Q Let Σ be a diagonalizable matrix )f Τ is a matrix such that Σ + 5 Τ = Ιδ then Τ is diagonalizable Which of the above statements hold TRUE A both P and Q C only Q Consider the following statements P and Q B only P D Neither P nor Q P )f Μ is an complex matrix then Q There exists a unitary matrix with an eigenvalue such that Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q MA 2/16

6 Q Consider a real vector space ς of dimension ν and a nonzero linear transformation )f dimension and for some then which of the following statements is TRUE A determinant B There exists a nontrivial subspace of ς such that for all C T is invertible D is the only eigenvalue of T Q Let and be a strictly increasing function such that is connected Which of the following statements is TRUE A has exactly one discontinuity B has exactly two discontinuities C has infinitely many discontinuities D is continuous Q Let and Then Q lim is equal to Maximum is equal to Q Let such that Then the Cauchy problem has a unique solution if A C on B D MA 3/16

7 Q Let be the dalemberts solution of the initial value problem for the wave equation where χ is a positive real number and are smooth odd functions Then is equal to Q Let the probability density function of a random variable Ξ be otherwise Then the value of χ is equal to Q Let ς be the set of all solutions of the equation satisfying where are positive real numbers Then dimensionς is equal to Q Let where and are continuous functions )f and are two linearly independent solutions of the above equation then is equal to Q Let be the Legendre polynomial of degree and is a nonnegative integer Consider the following statements P and Q P if Q if is an odd integer Which of the above statements hold TRUE A both P and Q where κ C only Q B only P D Neither P nor Q MA 4/16

8 Q Consider the following statements P and Q P has two linearly independent Frobenius series solutions near Q has two linearly independent Frobenius series solutions near Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q Let the polynomial be approximated by a polynomial of degree which interpolates at and Then the maximum absolute interpolation error over the interval is equal to Q Let be a sequence of distinct points in with lim Consider the following statements P and Q P There exists a unique analytic function φ on such that for all ν Q There exists an analytic function φ on such that if ν is even and if ν is odd Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q Let be a topological space with the cofinite topology Every infinite subset of is A Compact but NOT connected B Both compact and connected C NOT compact but connected D Neither compact nor connected MA 5/16

9 Q Let and Then dimension is equal to Q Consider where maximum Let be defined by and the norm preserving linear extension of to Then is equal to Q is called a shrinking map if for all and a contraction if there exists an such that for all Which of the following statements is TRUE for the function A is both a shrinking map and a contraction B is a shrinking map but NOT a contraction C is NOT a shrinking map but a contraction D is Neither a shrinking map nor a contraction Q Let be the set of all real matrices with the usual norm topology Consider the following statements P and Q P The set of all symmetric positive definite matrices in is connected Q The set of all invertible matrices in is compact Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q MA 6/16

10 Q Let be a random sample from the following probability density function for otherwise (ere and are unknown parameters Which of the following statements is TRUE A Maximum likelihood estimator of only exists B Maximum likelihood estimator of only exists C Maximum likelihood estimators of both and exist D Maximum likelihood estimator of Neither nor exists Q Suppose Ξ and Ψ are two random variables such that is a normal random variable for all Consider the following statements P Q R and S P Ξ is a standard normal random variable Q The conditional distribution of Ξ given Ψ is normal R The conditional distribution of Ξ given is normal S has mean Which of the above statements ALWAYS hold TRUE A both P and Q C both Q and S Q Consider the following statements P and Q B both Q and R D both P and S P )f is a normal subgroup of order of the symmetric group then is abelian Q )f is the quaternion group then is abelian Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q Let be a field of order Then the number of nonzero solutions of the equation is equal to MA 7/16

11 Θ. 26 Θ. 55 χαρρψ τωο mαρκσ εαχη. Q Let be oriented in the counterclockwise direction Let Then the value of is equal to Q Let be a harmonic function and its harmonic conjugate )f then is equal to Q Let be the triangular path connecting the points and in the counter clockwise direction in Then is equal to Q Let ψ be the solution of Then is equal to A C B D Q Let Ξ be a random variable with the following cumulative distribution function Then is equal to MA 8/16

12 Q Let be the curve which passes through and intersects each curve of the family orthogonally Then also passes through the point A C B D Q Let be the Fourier series of the periodic function defined by Then is equal to Q Let be a continuous function on )f Q then Let and A ln C ln is equal to Q For any let Q distance Then is equal to B ln D ln inimum Then is equal to Let and Then is equal to MA 9/16

13 Q Let be a real matrix with eigenvalues and )f the eigenvectors corresponding to and are and respectively then the value of is equal to Q Let and )f then is equal to Q Let the integral where Consider the following statements P and Q P )f is the value of the integral obtained by the composite trapezoidal rule with two equal subintervals then is exact Q )f is the value of the integral obtained by the composite trapezoidal rule with three equal subintervals then is exact Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q The difference between the least two eigenvalues of the boundary value problem is equal to Q The number of roots of the equation cos in the interval is equal to MA 10/16

14 Q For the fixed point iteration consider the following statements P and Q P )f then the fixed point iteration converges to for all Q )f then the fixed point iteration converges to for all Which of the above statements hold TRUE A both P and Q C only Q B only P D Neither P nor Q Q Let be defined by Then A B but bounded C D is unbounded Q Minimize subject to Then the minimum value of is equal to Q Maximize subject to Then the maximum value of is equal to MA 11/16

15 Q Let be a sequence of iid random variables with mean )f Ν is a geometric random variable with the probability mass function and it is independent of the s then is equal to Q Let be an exponential random variable with mean and a gamma random variable with mean and variance )f and are independently distributed then is equal to Q Let be a sequence of iid uniform random variables Then the value of is equal to lim ln ln Q Let Ξ be a standard normal random variable Then is equal to A C B D Q Let be a random sample from the probability density function otherwise where are parameters Consider the following testing problem versus Which of the following statements is TRUE A Uniformly Most Powerful test does NOT exist B Uniformly Most Powerful test is of the form C Uniformly Most Powerful test is of the form for some for some D Uniformly Most Powerful test is of the form for some MA 12/16

16 Q Let be a sequence of iid random variables Then is equal to lim Q Let be a random sample from uniform for some )f Maximum then the UMVUE of is A C B D Q Let be a random sample from a Poisson random variable with mean where Then the maximum likelihood estimator of is equal to Q The remainder when is divided by is equal to Q Let be a group whose presentation is Then is isomorphic to A C B D MA 13/16

17 ΕΝD ΟΦ ΤΗΕ ΘΥΕΣΤΙΟΝ ΠΑΠΕΡ MA 14/16

18 MA 15/16

19 MA 16/16

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. ΓΑΤΕ 016 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. 1 Q. 5 carry one mark each. Θ.1 Αν αππλε χοστσ Ρσ. 10. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ

Διαβάστε περισσότερα

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. ΓΑΤΕ 06 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. Q. 5 carry one mark each. Θ. Αν αππλε χοστσ Ρσ. 0. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε

Διαβάστε περισσότερα

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. ΓΑΤΕ 016 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. 1 Q. 5 carry one mark each. Θ.1 Αν αππλε χοστσ Ρσ. 10. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. ΓΑΤΕ 2016 Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. 1 Q. 5 carry one mark each. Θ.1 Αν αππλε χοστσ Ρσ. 10. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ

Διαβάστε περισσότερα

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον.

Γενεραλ Απτιτυδε ΓΑ Σετ 4. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. (Α) Τηε πριχε οφ αν αππλε ισ γρεατερ τηαν αν ονιον. Γενεραλ Απτιτυδε ΓΑ Σετ 4 Q. 1 Q. 5 carry one mark each. Θ.1 Αν αππλε χοστσ Ρσ. 10. Αν ονιον χοστσ Ρσ. 8. Σελεχτ τηε mοστ συιταβλε σεντενχε ωιτη ρεσπεχτ το γραmmαρ ανδ υσαγε. Τηε πριχε οφ αν αππλε ισ γρεατερ

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

Probability and Random Processes (Part II)

Probability and Random Processes (Part II) Probability and Random Processes (Part II) 1. If the variance σ x of d(n) = x(n) x(n 1) is one-tenth the variance σ x of a stationary zero-mean discrete-time signal x(n), then the normalized autocorrelation

Διαβάστε περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Bayesian statistics. DS GA 1002 Probability and Statistics for Data Science.

Bayesian statistics. DS GA 1002 Probability and Statistics for Data Science. Bayesian statistics DS GA 1002 Probability and Statistics for Data Science http://www.cims.nyu.edu/~cfgranda/pages/dsga1002_fall17 Carlos Fernandez-Granda Frequentist vs Bayesian statistics In frequentist

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

5.4 The Poisson Distribution.

5.4 The Poisson Distribution. The worst thing you can do about a situation is nothing. Sr. O Shea Jackson 5.4 The Poisson Distribution. Description of the Poisson Distribution Discrete probability distribution. The random variable

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions to Exercise Sheet 5 Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits. EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia 23187-8795

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

The ε-pseudospectrum of a Matrix

The ε-pseudospectrum of a Matrix The ε-pseudospectrum of a Matrix Feb 16, 2015 () The ε-pseudospectrum of a Matrix Feb 16, 2015 1 / 18 1 Preliminaries 2 Definitions 3 Basic Properties 4 Computation of Pseudospectrum of 2 2 5 Problems

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

Statistics 104: Quantitative Methods for Economics Formula and Theorem Review

Statistics 104: Quantitative Methods for Economics Formula and Theorem Review Harvard College Statistics 104: Quantitative Methods for Economics Formula and Theorem Review Tommy MacWilliam, 13 tmacwilliam@college.harvard.edu March 10, 2011 Contents 1 Introduction to Data 5 1.1 Sample

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

Local Approximation with Kernels

Local Approximation with Kernels Local Approximation with Kernels Thomas Hangelbroek University of Hawaii at Manoa 5th International Conference Approximation Theory, 26 work supported by: NSF DMS-43726 A cubic spline example Consider

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

Lecture 12: Pseudo likelihood approach

Lecture 12: Pseudo likelihood approach Lecture 12: Pseudo likelihood approach Pseudo MLE Let X 1,...,X n be a random sample from a pdf in a family indexed by two parameters θ and π with likelihood l(θ,π). The method of pseudo MLE may be viewed

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

New bounds for spherical two-distance sets and equiangular lines

New bounds for spherical two-distance sets and equiangular lines New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation DiracDelta Notations Traditional name Dirac delta function Traditional notation x Mathematica StandardForm notation DiracDeltax Primary definition 4.03.02.000.0 x Π lim ε ; x ε0 x 2 2 ε Specific values

Διαβάστε περισσότερα

Quadratic Expressions

Quadratic Expressions Quadratic Expressions. The standard form of a quadratic equation is ax + bx + c = 0 where a, b, c R and a 0. The roots of ax + bx + c = 0 are b ± b a 4ac. 3. For the equation ax +bx+c = 0, sum of the roots

Διαβάστε περισσότερα

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr (T t N n) Pr (max (X 1,..., X N ) t N n) Pr (max

Διαβάστε περισσότερα

Trigonometric Formula Sheet

Trigonometric Formula Sheet Trigonometric Formula Sheet Definition of the Trig Functions Right Triangle Definition Assume that: 0 < θ < or 0 < θ < 90 Unit Circle Definition Assume θ can be any angle. y x, y hypotenuse opposite θ

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

6. MAXIMUM LIKELIHOOD ESTIMATION

6. MAXIMUM LIKELIHOOD ESTIMATION 6 MAXIMUM LIKELIHOOD ESIMAION [1] Maximum Likelihood Estimator (1) Cases in which θ (unknown parameter) is scalar Notational Clarification: From now on, we denote the true value of θ as θ o hen, view θ

Διαβάστε περισσότερα

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1 Arithmetical applications of lagrangian interpolation Tanguy Rivoal Institut Fourier CNRS and Université de Grenoble Conference Diophantine and Analytic Problems in Number Theory, The 00th anniversary

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

Μηχανική Μάθηση Hypothesis Testing

Μηχανική Μάθηση Hypothesis Testing ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Μηχανική Μάθηση Hypothesis Testing Γιώργος Μπορμπουδάκης Τμήμα Επιστήμης Υπολογιστών Procedure 1. Form the null (H 0 ) and alternative (H 1 ) hypothesis 2. Consider

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

Διαβάστε περισσότερα

Πρόβλημα 1: Αναζήτηση Ελάχιστης/Μέγιστης Τιμής

Πρόβλημα 1: Αναζήτηση Ελάχιστης/Μέγιστης Τιμής Πρόβλημα 1: Αναζήτηση Ελάχιστης/Μέγιστης Τιμής Να γραφεί πρόγραμμα το οποίο δέχεται ως είσοδο μια ακολουθία S από n (n 40) ακέραιους αριθμούς και επιστρέφει ως έξοδο δύο ακολουθίες από θετικούς ακέραιους

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 24/3/2007

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 24/3/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Όλοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα μικρότεροι του 10000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Αν κάπου κάνετε κάποιες υποθέσεις

Διαβάστε περισσότερα

Math 6 SL Probability Distributions Practice Test Mark Scheme

Math 6 SL Probability Distributions Practice Test Mark Scheme Math 6 SL Probability Distributions Practice Test Mark Scheme. (a) Note: Award A for vertical line to right of mean, A for shading to right of their vertical line. AA N (b) evidence of recognizing symmetry

Διαβάστε περισσότερα

6.3 Forecasting ARMA processes

6.3 Forecasting ARMA processes 122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear

Διαβάστε περισσότερα

On a four-dimensional hyperbolic manifold with finite volume

On a four-dimensional hyperbolic manifold with finite volume BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Numbers 2(72) 3(73), 2013, Pages 80 89 ISSN 1024 7696 On a four-dimensional hyperbolic manifold with finite volume I.S.Gutsul Abstract. In

Διαβάστε περισσότερα

Aquinas College. Edexcel Mathematical formulae and statistics tables DO NOT WRITE ON THIS BOOKLET

Aquinas College. Edexcel Mathematical formulae and statistics tables DO NOT WRITE ON THIS BOOKLET Aquinas College Edexcel Mathematical formulae and statistics tables DO NOT WRITE ON THIS BOOKLET Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE in Mathematics and Further Mathematics Mathematical

Διαβάστε περισσότερα

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

= λ 1 1 e. = λ 1 =12. has the properties e 1. e 3,V(Y

= λ 1 1 e. = λ 1 =12. has the properties e 1. e 3,V(Y Stat 50 Homework Solutions Spring 005. (a λ λ λ 44 (b trace( λ + λ + λ 0 (c V (e x e e λ e e λ e (λ e by definition, the eigenvector e has the properties e λ e and e e. (d λ e e + λ e e + λ e e 8 6 4 4

Διαβάστε περισσότερα

Lecture 15 - Root System Axiomatics

Lecture 15 - Root System Axiomatics Lecture 15 - Root System Axiomatics Nov 1, 01 In this lecture we examine root systems from an axiomatic point of view. 1 Reflections If v R n, then it determines a hyperplane, denoted P v, through the

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1

Main source: Discrete-time systems and computer control by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 A Brief History of Sampling Research 1915 - Edmund Taylor Whittaker (1873-1956) devised a

Διαβάστε περισσότερα

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81 We know that KA = A If A is n th Order 3AB =3 3 A. B = 27 1 3 = 81 3 2. If A= 2 1 0 0 2 1 then

Διαβάστε περισσότερα

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.

Διαβάστε περισσότερα

Biostatistics for Health Sciences Review Sheet

Biostatistics for Health Sciences Review Sheet Biostatistics for Health Sciences Review Sheet http://mathvault.ca June 1, 2017 Contents 1 Descriptive Statistics 2 1.1 Variables.............................................. 2 1.1.1 Qualitative........................................

Διαβάστε περισσότερα

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

Lecture 34 Bootstrap confidence intervals

Lecture 34 Bootstrap confidence intervals Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

Jordan Form of a Square Matrix

Jordan Form of a Square Matrix Jordan Form of a Square Matrix Josh Engwer Texas Tech University josh.engwer@ttu.edu June 3 KEY CONCEPTS & DEFINITIONS: R Set of all real numbers C Set of all complex numbers = {a + bi : a b R and i =

Διαβάστε περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =

Διαβάστε περισσότερα

Estimation for ARMA Processes with Stable Noise. Matt Calder & Richard A. Davis Colorado State University

Estimation for ARMA Processes with Stable Noise. Matt Calder & Richard A. Davis Colorado State University Estimation for ARMA Processes with Stable Noise Matt Calder & Richard A. Davis Colorado State University rdavis@stat.colostate.edu 1 ARMA processes with stable noise Review of M-estimation Examples of

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Ολοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα είναι μικρότεροι το 1000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Διάρκεια: 3,5 ώρες Καλή

Διαβάστε περισσότερα

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0. DESIGN OF MACHINERY SOLUTION MANUAL -7-1! PROBLEM -7 Statement: Design a double-dwell cam to move a follower from to 25 6, dwell for 12, fall 25 and dwell for the remader The total cycle must take 4 sec

Διαβάστε περισσότερα

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King

g-selberg integrals MV Conjecture An A 2 Selberg integral Summary Long Live the King Ole Warnaar Department of Mathematics Long Live the King Ole Warnaar Department of Mathematics g-selberg integrals The Selberg integral corresponds to the following k-dimensional generalisation of the beta integral: D Here and k t α 1 i (1 t i ) β 1 1 i

Διαβάστε περισσότερα

STAT200C: Hypothesis Testing

STAT200C: Hypothesis Testing STAT200C: Hypothesis Testing Zhaoxia Yu Spring 2017 Some Definitions A hypothesis is a statement about a population parameter. The two complementary hypotheses in a hypothesis testing are the null hypothesis

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Spherical Coordinates

Spherical Coordinates Spherical Coordinates MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Fall 2011 Spherical Coordinates Another means of locating points in three-dimensional space is known as the spherical

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΟΣ ΣΥΝΔΕΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY 21 ος ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ Δεύτερος Γύρος - 30 Μαρτίου 2011

ΚΥΠΡΙΑΚΟΣ ΣΥΝΔΕΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY 21 ος ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ Δεύτερος Γύρος - 30 Μαρτίου 2011 Διάρκεια Διαγωνισμού: 3 ώρες Απαντήστε όλες τις ερωτήσεις Μέγιστο Βάρος (20 Μονάδες) Δίνεται ένα σύνολο από N σφαιρίδια τα οποία δεν έχουν όλα το ίδιο βάρος μεταξύ τους και ένα κουτί που αντέχει μέχρι

Διαβάστε περισσότερα