|
|
- Ταράσιος Λούπης
- 7 χρόνια πριν
- Προβολές:
Transcript
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20 Figure 1: Map of Kagera Region
21 Tables Table 1: Percent of individual reporting illness and injury in the four weeks prior to survey, by age and gender Age Total Male Female > Total Source: author's calculation on KHDS
22 Table 2: Percent of individual reporting illness and injury in the four weeks prior to survey, by age and gender Age Total Male Female > Total Source: author's calculation on KHDS
23 Table 3: Types of symptoms of those reporting illness or injury in month prior to survey By Gender By Age Type of Symptom Total Male Female >45 Acute Diarrhea Chronic Diarrhea Weight Loss Acute Fever Recurring Fever Skin Rash Weakness Severe Headache Fainting Chills Vomiting Cough Productive Cough Coughing blood Urine Pain Genitals sores Mental Abdominal pain Sore Throat Breathing Burn Fracture Wound Child Birth Other No obs. 9,463 4,415 5, ,456 2,198 1,137 1,852 Source: author's calculation on KHDS
24 Table 4 : Choice of health care provider on sample of ill individuals By Gender By age Place Total Male Female >45 No care Informal care Pharmacy Practitioner s Own home Other Formal Care Hospital Health Centre Dispensary Clinic No. Obs. 10,703 4,963 5, ,645 2,74 1,324 2,011 Source: author's calculation on KHDS 5 Table 5: Benefits and Costs of formal health care Formal Infor P-value No. No P-value No. Sample μ F μ I μ F -μ I =0 μ NC μ F -μ NC =0 Fraction of individuals ill at time t-1 who are still ill at time t Pooled Sample Routine Symptoms Not Routine Symptoms Fraction of ill individuals, treated by a doctor Pooled Sample Distance (Km) between the facility and the household Pooled Sample Notes: The table includes only 4 waves, because of lack of data about distance and individuals Source: author's calculation on KHDS
25 Table 6: Probability of illness Dependent variable=1 if an individual reported an illness Probit HH FE Baseline By age Baseline By age Age >12 Age<=12 Age >12 Age<=12 (1) (2) (3) (4) (5) (6) Age (0.003)*** (0.004)*** (0.018)*** (0.001)** (0.001)*** (0.005)*** Age sq. (a) (0.000)*** (0.000) (0.001)*** (0.000)*** (0.000) (0.000)*** Female (0.027)*** (0.040)*** (0.035) (0.008)*** (0.012)*** (0.011) Education (0.006)** (0.006)** (0.002)*** (0.002)* Education of HH (0.006)* (0.000) Female Head (0.074)** (0.080)* (0.023)** (0.027) HH head (0.050)*** (0.057) (0.015)*** (0.017) HH size (0.003)*** (0.004)*** (0.005)** (0.003) (0.004) (0.006) Log Phys. Stock (0.008)*** (0.011)** (0.013) (0.005) (0.006) (0.007)* Bad House (0.029)** (0.038)*** (0.043) (0.019) (0.022) (0.029) Bad Water (0.030) (0.038) (0.044) (0.017) (0.020)* (0.030) Dep. Ratio (b) (0.048) (0.015) (0.000) (0.000) Child<= (0.066) (0.080) (0.045) (0.053) Wave Dummies yes yes yes District Dummies yes yes yes Constant (0.132) (0.167)** (0.182) (0.069)*** (0.085)*** (0.106)*** Observations Number of pid R-squared Notes: Sample includes waves 1-4 Robust standard errors in parentheses. * significant at 10%; ** significant at 5%; *** significant at 1% (b) Dependency Ratio=N. of elderly and kids in the HH over HH size (a) Marginal probit coefficients are calculated at the mean. Fordummies, marginal effect is calculated for disrete change from 0 to 1.
26 Table 7: Probability of care by formal providers Dependent variable=1 if an individual consulted a formal provider, conditional on illness Baseline By age Type of symptom Age >12 Age <=12 Routine Non Routine (1) (2) (3) (4) (5) Age (0.005) (0.007)** (0.027)*** (0.006)* (0.013) Age sq (0.000) (0.000)** (0.002)*** (0.000) (0.000) Female (0.047) (0.074) (0.056) (0.049) (0.115) Education (0.009)*** (0.011)*** (0.010)*** (0.022)** Education of HH (0.009)** Female Head (0.113) (0.134) (0.120) (0.263) HH head (0.083) (0.103) (0.087) (0.196) Log Phys. Stock (0.014) (0.019) (0.021) (0.015) (0.037) Bad House (0.049)* (0.068)** (0.070) (0.052) (0.117)*** Bad Water (0.048)*** (0.065)*** (0.070)*** (0.051)*** (0.120)** HH size (0.005) (0.008) (0.007) (0.006) (0.014)* Child<= (0.085) (0.090) (0.216) Dep. Ratio (0.107) (0.137)* (0.113) (0.256) Wave Dummies yes yes yes yes yes District Dummies yes yes yes yes yes Constant (0.222) (0.299) (0.293) (0.236) (0.548) Observations Number of pid Notes: Sample includes waves 1-4.Robust standard errors in parentheses. * significant at 10%; ** significant at 5%; *** significant at 1% (b) Dependency Ratio=N. of elderly and kids in the HH over HH size (a) Marginal probit coefficients are calculated at the mean. Fordummies, marginal effect is calculated for disrete change from 0 to 1.
27 Table 8: Probability of care by formal providers, same individual over time Dependent variable=1 if an individual seek formal care Baseline By Age Non Ciclic Diseases Age >12 Age<=12 (1) (3) (4) (5) (6) (7) Switch to Formal (0.082)*** (0.088)*** (0.105)*** (0.147)** (0.104)*** (0.095)*** Routine Symptoms (0.146)* (0.206) Age (0.010) (0.011) (0.012) (0.074)*** (0.013) (0.012) Age sq. (b) (0.000) (0.000) (0.000) (0.006)*** (0.000) (0.000) Female (0.083) (0.088) (0.118) (0.133) (0.103)* (0.096)* Education (0.019) (0.020) (0.021) (0.024) (0.022) Head Education (0.023) HH Head (0.128)** (0.137)*** (0.143)** (0.165)*** (0.153)* Log Phys. Stock (0.031) (0.034) (0.039) (0.058) (0.042) (0.037) Bad house (0.096)* (0.136) (0.121) (0.181) (0.158) (0.110)** Bad water (0.095) (0.105) (0.125) (0.171) (0.124) (0.111) HH size (0.012) (0.013) (0.016) (0.021) (0.016) (0.014) Dependency Ratio (0.197) (0.214) (0.239) (0.421) (0.254) (0.229) Child < (0.191) (0.201) (0.240) (0.227) Constant (0.472) (0.616)* (0.610) (0.859) (0.731) (0.586) Wave Dummies yes yes yes yes yes yes District Dummies yes no yes yes no yes Cluster Dummies no yes no no yes no Observations Number of pid Notes: Robust standard errors in parentheses. * significant at 10%; ** significant at 5%; *** significant at 1%. Probit Estimates. (a) Marginal probit coefficients are calculated at the mean. Fordummies, marginal effect is calculated for discrete change from 0 to 1.
28 Table 9: Instrumenting illness First Stage Selection Bias Control Dependent variable Illness Formal Care (1) (2) (3) (4) (5) Disaster (0.019)*** Switch to Formal Care (0.030)*** (0.031)*** Age (0.020)*** (0.022) (0.020) (0.094) (0.083) Age sq. (b) (0.000)*** (0.000) (0.000) (0.001) (0.001) Female (0.022)*** (0.030) (0.028) (0.110) (0.100) Education (0.017) (0.011)*** (0.011)*** (0.027) (0.026) Female Head (0.337) (0.104) (0.109) (0.258) (0.251) HH Head (0.257) (0.130) (0.125)* (0.390) (0.367) HH Sice (0.010)*** (0.013) (0.013)* (0.047) (0.044) Log Phys. Stock (0.014)** (0.007) (0.008)* (0.022) (0.023) Bad house (0.052) (0.081)** (0.087)*** (0.217) (0.218) Bad water (0.054) (0.073)*** (0.069)*** (0.201)* (0.195) Dependency Ratio (0.139)*** (0.131)* (0.139)** (0.336) (0.344) Child < (0.085) (0.242) (0.245)* (0.699) (0.658) routine (0.023)** (0.024)** (0.050) (0.054) Wave Dummies yes yes yes yes District Dummies yes no yes no Cluster Dummies no yes no yes Constant (0.125)*** (1.182) (1.148) (3.537) (3.233) Observations Note: standard errors in parentheses. * significant at 10%; ** significant at 5%; *** significant at 1%. The first stage estimate includes all five waves. (a) Disaster includes drought, epidemic, insect and crop diseases. (b) Controls: Age, Age Sq., Female, Female HH Head, HH Head, HH Size, Child<=12, Dependency Ratio, and all the mean of these covariates.
29 Appendix Tables Table A1: Definition of variables and descriptive statistics Variable Definition Obs Mean S.D. Min Max Ill Equal to 1 if individual reported ill or injury and Formal Equal 1 if formal provider (hospital, health centre Switch To Formal Equal 1 if an individual ill in time t-2, consulted an informal provider in t-2 and he is still ill in time t Female Equal 1 if female, 0 otherwise Age Age in years Age sq. Age squared in years Education Years of education HH head Equal 1 if head of household, 0 otherwise Female head Interaction between head and female HH size Number of member in each hh Phys. stock Value of physical asset held by the HH e+1 6.4e e+17 Log Phys. Stock Log value of physical asset Bad water Equal 1 if the source of drinking water for household river/lake, well without pump, rain 0 Bad floor Equal 1 if main floor material is earth, 0 otherwise Bad wall Equal 1 if main wall material is mud brick or Bad roof Equal 1 if main roof material is grass or mud Bad house Equal 1 if inadequate house (bad wall bad floor bad roof), 0 otherwise Symtom Symptoms suffered:1= Acute diarrhea, 2=Chronic Diarrhea, 3=weight loss, 4=Acute Fever, 5=Recurring Fever, 6=skin rash, 7=weakness, 8=severe headache, 9=fainting, 10=chills (feeling hot and cold), 11=vomiting, 12=cough, 13=productive cough, 15=pain on passing urine, 16=genitals pain, 17=mental problems, 18=abdominal pain, 19=sore throat, 20=difficult breathing, 21=burn, 22=fracture, 23=wound, Routine Equal 1 if it is a routine symptom, 0 otherwise Distance Distance from the nearest health establishment (Km) Facility distance Distance between the community and the nearest health establishment (Km) Disasters Equal 1 if there was a disaster in the past 6 months in the community, such as: drought, epidemic,
CSAE WPS/2009-06 Figure 1: Cut Flower Exports from Kenya, 1995-2007 Table 1: Firms in Areas with and w/out Conflict Panel A - Export Records Variable Observations Mean in No-Conflict
The Political Economy of Heterogeneity and Conflict
The Political Economy of Heterogeneity and Conflict Enrico Spolaore Tufts University and NBER Romain Wacziarg UCLA and NBER March 2017 Abstract We present a conceptual framework linking cultural heterogeneity
A Finite Precision of Private Information Precision of Private Information Approaching Infinity 0 θ1 * θ Session Cost of Action A First 20 Last 20 Rounds Rounds Information in Stage 2 First 20 Last
SECTION II: PROBABILITY MODELS
SECTION II: PROBABILITY MODELS 1 SECTION II: Aggregate Data. Fraction of births with low birth weight per province. Model A: OLS, using observations 1 260 Heteroskedasticity-robust standard errors, variant
Group 2 Methotrexate 7.5 mg/week, increased to 15 mg/week after 4 weeks. Methotrexate 7.5 mg/week, increased to 15 mg/week after 4 weeks
Group 1 Methotrexate 7.5 mg/week, increased to 15 mg/week after 4 weeks Group 2 Methotrexate 7.5 mg/week, increased to 15 mg/week after 4 weeks Sulfasalazine 2000-3000 mg/day Leflunomide 20 mg/day Infliximab
Queensland University of Technology Transport Data Analysis and Modeling Methodologies
Queensland University of Technology Transport Data Analysis and Modeling Methodologies Lab Session #7 Example 5.2 (with 3SLS Extensions) Seemingly Unrelated Regression Estimation and 3SLS A survey of 206
WORKING P A P E R. Learning your Child s Price. Evidence from Data on Projected Dowry in Rural India A. V. CHARI AND ANNEMIE MAERTENS WR-899
WORKING P A P E R Learning your Child s Price Evidence from Data on Projected Dowry in Rural India A. V. CHARI AND ANNEMIE MAERTENS WR-899 November 2011 This product is part of the RAND Labor and Population
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
22 .5 Real consumption.5 Real residential investment.5.5.5 965 975 985 995 25.5 965 975 985 995 25.5 Real house prices.5 Real fixed investment.5.5.5 965 975 985 995 25.5 965 975 985 995 25.3 Inflation
Cite as: Pol Antras, course materials for International Economics I, Spring MIT OpenCourseWare (http://ocw.mit.edu/), Massachusetts
/ / σ/σ σ/σ θ θ θ θ y 1 0.75 0.5 0.25 0 0 0.5 1 1.5 2 θ θ θ x θ θ Φ θ Φ θ Φ π θ /Φ γφ /θ σ θ π θ Φ θ θ Φ θ θ θ θ σ θ / Φ θ θ / Φ / θ / θ Normalized import share: (Xni / Xn) / (XII / XI) 1 0.1 0.01 0.001
Supplementary Appendix
Supplementary Appendix Measuring crisis risk using conditional copulas: An empirical analysis of the 2008 shipping crisis Sebastian Opitz, Henry Seidel and Alexander Szimayer Model specification Table
Simon et al. Supplemental Data Page 1
Simon et al. Supplemental Data Page 1 Supplemental Data Acute hemodynamic effects of inhaled sodium nitrite in pulmonary hypertension associated with heart failure with preserved ejection fraction Short
Policy Coherence. JEL Classification : J12, J13, J21 Key words :
** 80%1.89 2005 7 35 Policy Coherence JEL Classification : J12, J13, J21 Key words : ** Family Life and Family Policy in France and Germany: Implications for Japan By Tomoko Hayashi and Rieko Tamefuji
Does anemia contribute to end-organ dysfunction in ICU patients Statistical Analysis
Does anemia contribute to end-organ dysfunction in ICU patients Statistical Analysis Xue Han, MPH and Matt Shotwell, PhD Department of Biostatistics Vanderbilt University School of Medicine March 14, 2014
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
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
UMI Number: All rights reserved
UMI Number: 3408360 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send
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
APPENDICES APPENDIX A. STATISTICAL TABLES AND CHARTS 651 APPENDIX B. BIBLIOGRAPHY 677 APPENDIX C. ANSWERS TO SELECTED EXERCISES 679
APPENDICES APPENDIX A. STATISTICAL TABLES AND CHARTS 1 Table I Summary of Common Probability Distributions 2 Table II Cumulative Standard Normal Distribution Table III Percentage Points, 2 of the Chi-Squared
Spatiotemporal footprint of the WNV in Greece 2010 2012: Analysis & Risk Αssessment in a GIS Εnvironment
Integrated surveillance and control programme for West Nile virus and malaria in Greece (MIS 365280) Spatiotemporal footprint of the WNV in Greece 2010 2012: Analysis & Risk Αssessment in a GIS Εnvironment
Number All 397 Women 323 (81%) Men 74 (19%) Age(years) 39,1 (17-74) 38,9 (17-74) 40,5 (18-61) Maximum known weight(kg) 145,4 (92,0-292,0) 138,9 (92,0-202,0) 174,1 (126,0-292,0) Body mass index (kg/m 2
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
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 :
Το κοινωνικό στίγμα της ψυχικής ασθένειας
Διεπιζηημονική Φρονηίδα Υγείας(2015) Τόμος 7,Τεύχος 1, 8-18 ISSN 1791-9649 Το κοινωνικό στίγμα της ψυχικής ασθένειας Κνξδώζε Α 1, Σαξίδε Μ 2, Σνπιηώηεο Κ 3 1 Ννζειεύηξηα ΤΔ, MSc, Γεληθό Ννζνθνκείν Κνξίλζνπ.
Chapter 1 Introduction to Observational Studies Part 2 Cross-Sectional Selection Bias Adjustment
Contents Preface ix Part 1 Introduction Chapter 1 Introduction to Observational Studies... 3 1.1 Observational vs. Experimental Studies... 3 1.2 Issues in Observational Studies... 5 1.3 Study Design...
Supplementary figures
A Supplementary figures a) DMT.BG2 0.87 0.87 0.72 20 40 60 80 100 DMT.EG2 0.93 0.85 20 40 60 80 EMT.MG3 0.85 0 20 40 60 80 20 40 60 80 100 20 40 60 80 100 20 40 60 80 EMT.G6 DMT/EMT b) EG2 0.92 0.85 5
Potential Dividers. 46 minutes. 46 marks. Page 1 of 11
Potential Dividers 46 minutes 46 marks Page 1 of 11 Q1. In the circuit shown in the figure below, the battery, of negligible internal resistance, has an emf of 30 V. The pd across the lamp is 6.0 V and
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
Figure A.2: MPC and MPCP Age Profiles (estimating ρ, ρ = 2, φ = 0.03)..
Supplemental Material (not for publication) Persistent vs. Permanent Income Shocks in the Buffer-Stock Model Jeppe Druedahl Thomas H. Jørgensen May, A Additional Figures and Tables Figure A.: Wealth and
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
Table 1: Military Service: Models. Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 num unemployed mili mili num unemployed
Tables: Military Service Table 1: Military Service: Models Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 num unemployed mili mili num unemployed mili 0.489-0.014-0.044-0.044-1.469-2.026-2.026
Global energy use: Decoupling or convergence?
Crawford School of Public Policy Centre for Climate Economics & Policy Global energy use: Decoupling or convergence? CCEP Working Paper 1419 December 2014 Zsuzsanna Csereklyei Geschwister Scholl Institute
n n 1 n+1 2 2 Farmers in Random Insurance Group Farmers in Random Insurance Group Insured Plots Control Plots 1st Choice Plots Insured plot Adverse Selection Moral Hazard Control plot 1st Choice Plots
Technical Information T-9100 SI. Suva. refrigerants. Thermodynamic Properties of. Suva Refrigerant [R-410A (50/50)]
d Suva refrigerants Technical Information T-9100SI Thermodynamic Properties of Suva 9100 Refrigerant [R-410A (50/50)] Thermodynamic Properties of Suva 9100 Refrigerant SI Units New tables of the thermodynamic
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
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
UDZ Swirl diffuser. Product facts. Quick-selection. Swirl diffuser UDZ. Product code example:
UDZ Swirl diffuser Swirl diffuser UDZ, which is intended for installation in a ventilation duct, can be used in premises with a large volume, for example factory premises, storage areas, superstores, halls,
ΓΕΩΠΟΝΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ ΤΜΗΜΑ ΑΓΡΟΤΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ & ΑΝΑΠΤΥΞΗΣ
ΓΕΩΠΟΝΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ ΤΜΗΜΑ ΑΓΡΟΤΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ & ΑΝΑΠΤΥΞΗΣ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ «ΟΛΟΚΛΗΡΩΜΕΝΗ ΑΝΑΠΤΥΞΗ & ΔΙΑΧΕΙΡΙΣΗ ΤΟΥ ΑΓΡΟΤΙΚΟΥ ΧΩΡΟΥ» ΜΕΤΑΠΤΥΧΙΑΚΗ ΕΡΓΑΣΙΑ «Οικονομετρική διερεύνηση
Στεγαστική δήλωση: Σχετικά με τις στεγαστικές υπηρεσίες που λαμβάνετε (Residential statement: About the residential services you get)
Νόμος περί Αναπηριών 2006 (Disability Act 2006) Στεγαστική δήλωση: Σχετικά με τις στεγαστικές υπηρεσίες που λαμβάνετε (Residential statement: About the residential services you get) Greek Νόμος περί Αναπηριών
DuPont Suva 95 Refrigerant
Technical Information T-95 SI DuPont Suva refrigerants Thermodynamic Properties of DuPont Suva 95 Refrigerant (R-508B) The DuPont Oval Logo, The miracles of science, and Suva, are trademarks or registered
Αλγόριθμοι και πολυπλοκότητα NP-Completeness (2)
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Αλγόριθμοι και πολυπλοκότητα NP-Completeness (2) Ιωάννης Τόλλης Τμήμα Επιστήμης Υπολογιστών NP-Completeness (2) x 1 x 1 x 2 x 2 x 3 x 3 x 4 x 4 12 22 32 11 13 21
1 1 1 2 1 2 2 1 43 123 5 122 3 1 312 1 1 122 1 1 1 1 6 1 7 1 6 1 7 1 3 4 2 312 43 4 3 3 1 1 4 1 1 52 122 54 124 8 1 3 1 1 1 1 1 152 1 1 1 1 1 1 152 1 5 1 152 152 1 1 3 9 1 159 9 13 4 5 1 122 1 4 122 5
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
A global biofuels outlook: U.S. RIN markets and EU proposals. Gerard Wynn Energy and climate columnist Thomson Reuters
1η Ενότητα: «Το Παρόν και το Μέλλον των Βιοκαυσίμων στην Ελλάδα και την Ευρώπη» A global biofuels outlook: U.S. RIN markets and EU proposals Gerard Wynn Energy and climate columnist Thomson Reuters Global
DuPont Suva 95 Refrigerant
Technical Information T-95 ENG DuPont Suva refrigerants Thermodynamic Properties of DuPont Suva 95 Refrigerant (R-508B) The DuPont Oval Logo, The miracles of science, and Suva, are trademarks or registered
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........................................
MSM Men who have Sex with Men HIV -
,**, The Japanese Society for AIDS Research The Journal of AIDS Research HIV,0 + + + + +,,, +, : HIV : +322,*** HIV,0,, :., n,0,,. + 2 2, CD. +3-ml n,, AIDS 3 ARC 3 +* 1. A, MSM Men who have Sex with Men
FORMULAS FOR STATISTICS 1
FORMULAS FOR STATISTICS 1 X = 1 n Sample statistics X i or x = 1 n x i (sample mean) S 2 = 1 n 1 s 2 = 1 n 1 (X i X) 2 = 1 n 1 (x i x) 2 = 1 n 1 Xi 2 n n 1 X 2 x 2 i n n 1 x 2 or (sample variance) E(X)
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
519.22(07.07) 78 : ( ) /.. ; c (07.07) , , 2008
.. ( ) 2008 519.22(07.07) 78 : ( ) /.. ;. : -, 2008. 38 c. ( ) STATISTICA.,. STATISTICA.,. 519.22(07.07),.., 2008.., 2008., 2008 2 ... 4 1...5...5 2...14...14 3...27...27 3 ,, -. " ", :,,,... STATISTICA.,,,.
RECIPROCATING COMPRESSOR CALCULATION SHEET
Gas properties, flowrate and conditions 1 Gas name Air RECIPRCATING CMPRESSR CALCULATIN SHEET WITH INTERCLER ( Sheet : 1. f 4.) Item or symbol Quantity Unit Item or symbol Quantity Unit 2 Suction pressure,
Ειδικό πρόγραμμα ελέγχου για τον ιό του Δυτικού Νείλου και την ελονοσία, ενίσχυση της επιτήρησης στην ελληνική επικράτεια (MIS 365280)
«Ειδικό πρόγραμμα ελέγχου για τον ιό του Δυτικού Νείλου και την ελονοσία, ενίσχυση της επιτήρησης στην ελληνική επικράτεια» Παραδοτέο Π1.36 Έκδοση ενημερωτικών φυλλαδίων Υπεύθυνος φορέας: Κέντρο Ελέγχου
Από τις ρυθμίσεις στις διαρθρωτικές αλλαγές: η αναγκαία παρέμβαση στην πρωτοβάθμια φροντίδα υγείας
ΕΝΟΤΗΤΑ IV: ΙΑΣΦΑΛΙΣΗ ΤΗΣ ΚΑΤΑΛΛΗΛΟΤΗΤΑΣ ΚΑΙ ΤΗΣ ΠΟΙΟΤΗΤΑΣ ΤΗΣ ΥΓΕΙΟΝΟΜΙΚΗΣ ΠΕΡΙΘΑΛΨΗΣ Από τις ρυθμίσεις στις διαρθρωτικές αλλαγές: η αναγκαία παρέμβαση στην πρωτοβάθμια φροντίδα υγείας Κυριάκος Σουλιώτης
Aluminum Electrolytic Capacitors
Aluminum Electrolytic Capacitors Snap-In, Mini., 105 C, High Ripple APS TS-NH ECE-S (G) Series: TS-NH Features Long life: 105 C 2,000 hours; high ripple current handling ability Wide CV value range (47
[1] P Q. Fig. 3.1
1 (a) Define resistance....... [1] (b) The smallest conductor within a computer processing chip can be represented as a rectangular block that is one atom high, four atoms wide and twenty atoms long. One
Aluminum Electrolytic Capacitors (Large Can Type)
Aluminum Electrolytic Capacitors (Large Can Type) Snap-In, 85 C TS-U ECE-S (U) Series: TS-U Features General purpose Wide CV value range (33 ~ 47,000 µf/16 4V) Various case sizes Top vent construction
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
DuPont Suva. DuPont. Thermodynamic Properties of. Refrigerant (R-410A) Technical Information. refrigerants T-410A ENG
Technical Information T-410A ENG DuPont Suva refrigerants Thermodynamic Properties of DuPont Suva 410A Refrigerant (R-410A) The DuPont Oval Logo, The miracles of science, and Suva, are trademarks or registered
Διδακτορική Διατριβή
ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΥΓΕΙΑΣ Διδακτορική Διατριβή Η ΕΠΙΔΡΑΣΗ ΕΚΠΑΙΔΕΥΤΙΚΗΣ ΠΑΡΕΜΒΑΣΗΣ ΥΠΟΒΟΗΘΟΥΜΕΝΗΣ ΑΠΟ ΥΠΟΛΟΓΙΣΤΗ ΣΤΗΝ ΠΟΙΟΤΗΤΑ ΖΩΗΣ ΚΑΙ ΣΤΗΝ ΑΥΤΟΦΡΟΝΤΙΔΑ ΑΣΘΕΝΩΝ ΜΕ ΚΑΡΔΙΑΚΗ
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
Πτυχιακή Εργασία Η ΠΟΙΟΤΗΤΑ ΖΩΗΣ ΤΩΝ ΑΣΘΕΝΩΝ ΜΕ ΣΤΗΘΑΓΧΗ
ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΥΓΕΙΑΣ Πτυχιακή Εργασία Η ΠΟΙΟΤΗΤΑ ΖΩΗΣ ΤΩΝ ΑΣΘΕΝΩΝ ΜΕ ΣΤΗΘΑΓΧΗ Νικόλας Χριστοδούλου Λευκωσία, 2012 ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΥΓΕΙΑΣ
CSAE Working Paper WPS/
CSAE Working Paper WPS/2016-04 China sexpansionofhighereducation:thelabourmarket ConsequencesofaSupplyShock JohnKnight 1,DengQuheng 2 andlishi 3 March2016 Centre for the Study of African Economies Department
HISTOGRAMS AND PERCENTILES What is the 25 th percentile of a histogram? What is the 50 th percentile for the cigarette histogram?
HISTOGRAMS AND PERCENTILES What is the 25 th percentile of a histogram? The point on the horizontal axis such that of the area under the histogram lies to the left of that point (and to the right) What
Calculating the propagation delay of coaxial cable
Your source for quality GNSS Networking Solutions and Design Services! Page 1 of 5 Calculating the propagation delay of coaxial cable The delay of a cable or velocity factor is determined by the dielectric
Συστήματα Διαχείρισης Βάσεων Δεδομένων
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Συστήματα Διαχείρισης Βάσεων Δεδομένων Φροντιστήριο 9: Transactions - part 1 Δημήτρης Πλεξουσάκης Τμήμα Επιστήμης Υπολογιστών Tutorial on Undo, Redo and Undo/Redo
Comparison of Evapotranspiration between Indigenous Vegetation and Invading Vegetation in a Bog
J. Jpn. Soc. Soil Phys. No. +*-, p.-3.1,**0 ** * *** Comparison of Evapotranspiration between Indigenous Vegetation and Invading Vegetation in a Bog Toshiki FUJIMOTO*, Ippei IIYAMA*, Mai SAKAI*, Osamu
Ala Wai Drogue Survey
Ala Wai Drogue Survey On the afternoon of March 24, 2006, drogue surveys were initiated in response to the Beachwalk Pump Station, forcemain break. In total, ten surveys were completed from March 24 to
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
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
Cable Systems - Postive/Negative Seq Impedance
Cable Systems - Postive/Negative Seq Impedance Nomenclature: GMD GMR - geometrical mead distance between conductors; depends on construction of the T-line or cable feeder - geometric mean raduius of conductor
PENGARUHKEPEMIMPINANINSTRUKSIONAL KEPALASEKOLAHDAN MOTIVASI BERPRESTASI GURU TERHADAP KINERJA MENGAJAR GURU SD NEGERI DI KOTA SUKABUMI
155 Lampiran 6 Yayan Sumaryana, 2014 PENGARUHKEPEMIMPINANINSTRUKSIONAL KEPALASEKOLAHDAN MOTIVASI BERPRESTASI GURU TERHADAP KINERJA MENGAJAR GURU SD NEGERI DI KOTA SUKABUMI Universitas Pendidikan Indonesia
NMBTC.COM /
Common Common Vibration Test:... Conforms to JIS C 60068-2-6, Amplitude: 1.5mm, Frequency 10 to 55 Hz, 1 hour in each of the X, Y and Z directions. Shock Test:...Conforms to JIS C 60068-2-27, Acceleration
Molecular evolutionary dynamics of respiratory syncytial virus group A in
Molecular evolutionary dynamics of respiratory syncytial virus group A in recurrent epidemics in coastal Kenya James R. Otieno 1#, Charles N. Agoti 1, 2, Caroline W. Gitahi 1, Ann Bett 1, Mwanajuma Ngama
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,
Άσκηση 10, σελ. 119. Για τη μεταβλητή x (άτυπος όγκος) έχουμε: x censored_x 1 F 3 F 3 F 4 F 10 F 13 F 13 F 16 F 16 F 24 F 26 F 27 F 28 F
Άσκηση 0, σελ. 9 από το βιβλίο «Μοντέλα Αξιοπιστίας και Επιβίωσης» της Χ. Καρώνη (i) Αρχικά, εισάγουμε τα δεδομένα στο minitab δημιουργώντας δύο μεταβλητές: τη x για τον άτυπο όγκο και την y για τον τυπικό
ΕΙΣΑΓΩΓΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ
ΕΙΣΑΓΩΓΗ ΣΤΗ ΣΤΑΤΙΣΤΙΚΗ ΑΝΑΛΥΣΗ ΕΛΕΝΑ ΦΛΟΚΑ Επίκουρος Καθηγήτρια Τµήµα Φυσικής, Τοµέας Φυσικής Περιβάλλοντος- Μετεωρολογίας ΓΕΝΙΚΟΙ ΟΡΙΣΜΟΙ Πληθυσµός Σύνολο ατόµων ή αντικειµένων στα οποία αναφέρονται
ΣΔΥΝΟΛΟΓΙΚΟ ΠΑΝΔΠΙΣΗΜΙΟ ΚΤΠΡΟΤ ΥΟΛΗ ΔΠΙΣΗΜΧΝ ΤΓΔΙΑ ΣΜΗΜΑ ΝΟΗΛΔΤΣΙΚΗ. Πηπρηαθή εξγαζία
ΣΔΥΝΟΛΟΓΙΚΟ ΠΑΝΔΠΙΣΗΜΙΟ ΚΤΠΡΟΤ ΥΟΛΗ ΔΠΙΣΗΜΧΝ ΤΓΔΙΑ ΣΜΗΜΑ ΝΟΗΛΔΤΣΙΚΗ Πηπρηαθή εξγαζία ΣΟ ΑΓΥΟ ΠΟΤ ΒΙΧΝΟΤΝ ΓΟΝΔΙ ΣΗΝ ΦΡΟΝΣΙΓΑ ΑΤΣΙΣΙΚΟΤ ΠΑΙΓΙΟΤ 2-18 ΔΣΧΝ Φξεηδεξίθε Νενθιένπο Λεκεζόο, 2014 ΣΔΥΝΟΛΟΓΙΚΟ ΠΑΝΔΠΙΣΗΜΙΟ
ΠΩΣ ΕΠΗΡΕΑΖΕΙ Η ΜΕΡΑ ΤΗΣ ΕΒΔΟΜΑΔΑΣ ΤΙΣ ΑΠΟΔΟΣΕΙΣ ΤΩΝ ΜΕΤΟΧΩΝ ΠΡΙΝ ΚΑΙ ΜΕΤΑ ΤΗΝ ΟΙΚΟΝΟΜΙΚΗ ΚΡΙΣΗ
Σχολή Διοίκησης και Οικονομίας Κρίστια Κυριάκου ΤΕΧΝΟΛΟΓΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ ΣΧΟΛΗ ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΟΙΚΟΝΟΜΙΑΣ ΤΜΗΜΑ ΕΜΠΟΡΙΟΥ,ΧΡΗΜΑΤΟΟΙΚΟΝΟΜΙΚΩΝ ΚΑΙ ΝΑΥΤΙΛΙΑΣ Της Κρίστιας Κυριάκου ii Έντυπο έγκρισης Παρουσιάστηκε
IIT JEE (2013) (Trigonomtery 1) Solutions
L.K. Gupta (Mathematic Classes) www.pioeermathematics.com MOBILE: 985577, 677 (+) PAPER B IIT JEE (0) (Trigoomtery ) Solutios TOWARDS IIT JEE IS NOT A JOURNEY, IT S A BATTLE, ONLY THE TOUGHEST WILL SURVIVE
Bayesian modeling of inseparable space-time variation in disease risk
Bayesian modeling of inseparable space-time variation in disease risk Leonhard Knorr-Held Laina Mercer Department of Statistics UW May, 013 Motivation Ohio Lung Cancer Example Lung Cancer Mortality Rates
Comparing groups in regression models for binary outcomes
ICPSRSuerProgra Coparinggroupsin regressionodelsfor binaryoutcoes ScottLong IndianaUniversity BlalockLecture August2010 Arethe effects ofproductivityontenurethesaeforenandoen? 1. Acoonsolutionforcoparinggroups:
Η ΨΥΧΙΑΤΡΙΚΗ - ΨΥΧΟΛΟΓΙΚΗ ΠΡΑΓΜΑΤΟΓΝΩΜΟΣΥΝΗ ΣΤΗΝ ΠΟΙΝΙΚΗ ΔΙΚΗ
ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΝΟΜΙΚΗ ΣΧΟΛΗ ΠΡΟΓΡΑΜΜΑ ΜΕΤΑΠΤΥΧΙΑΚΩΝ ΣΠΟΥΔΩΝ ΤΟΜΕΑΣ ΙΣΤΟΡΙΑΣ ΦΙΛΟΣΟΦΙΑΣ ΚΑΙ ΚΟΙΝΩΝΙΟΛΟΓΙΑΣ ΤΟΥ ΔΙΚΑΙΟΥ Διπλωματική εργασία στο μάθημα «ΚΟΙΝΩΝΙΟΛΟΓΙΑ ΤΟΥ ΔΙΚΑΙΟΥ»
Quantifying the Financial Benefits of Chemical Inventory Management Using CISPro
of Chemical Inventory Management Using CISPro by Darryl Braaksma Sr. Business and Financial Consultant, ChemSW, Inc. of Chemical Inventory Management Using CISPro Table of Contents Introduction 3 About
ΙΔΡΥΜΑ. Θεσσαλονίκη, ύλα
ΑΛΕΞΑΝΔΡΕΙΟ ΤΕΧΝΟΛΟΓΙΚΟ ΕΚΠΑΙΔΕΥΤΙΚΟ ΙΔΡΥΜΑ ΘΕΣΣΑΛΟΝΙΚΗΣ ΣΧΟΛΗ ΤΕΧΝΟΛΟΓΙΑΣ ΓΕΩΠΟΝΙΑΣ, ΤΡΟΦΙΜΩΝ & ΔΙΑΤΡΟΦΗΔ ΗΣ ΤΜΗΜΑ ΔΙΑΤΡΟΦΗΣ & ΔΙΑΙΤΟΛΟΓΙΑΣ ΠΑΡΕΜΒΑΤΙΚΟ ΠΡΟΓΡΑΜΜΑ ΔΙΑΤΡΟΦΙΚΗΣ ΑΓΩΓΗΣ ΣΤΟΝ ΔΗΜΟ ΚΑΒΑΛΑΣ Πτυχιακή
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
Multilayer Ceramic Chip Capacitors
FEATURES X7R, X6S, X5R AND Y5V DIELECTRICS HIGH CAPACITANCE DENSITY ULTRA LOW ESR & ESL EXCELLENT MECHANICAL STRENGTH NICKEL BARRIER TERMINATIONS RoHS COMPLIANT SAC SOLDER COMPATIBLE* PART NUMBER SYSTEM
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 10η: Basics of Game Theory part 2 Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 0η: Basics of Game Theory part 2 Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Best Response Curves Used to solve for equilibria in games
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) =
Supplemental Table 1. ICD-9-CM codes and ATC codes used in this study
Supplemental Table 1. ICD-9-CM codes and ATC codes used in this study Comorbidities ICD-9-CM codes Medication ATC codes Diabetes 250 Angiotensin-converting enzyme inhibitors C09AA Ischemic heart disease
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
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
Bulletin 1489 UL489 Circuit Breakers
Bulletin 489 UL489 Circuit Breakers Tech Data 489-A Standard AC Circuit Breaker 489-D DC Circuit Breaker 489-A, AC Circuit Breakers 489-D, DC Circuit Breakers Bulletin 489-A Industrial Circuit Breaker
; +302 ; +313; +320,.
1.,,*+, - +./ +/2 +, -. ; +, - +* cm : Key words: snow-water content, surface soil, snow type, water permeability, water retention +,**. +,,**/.. +30- +302 ; +302 ; +313; +320,. + *+, *2// + -.*, **. **+.,
Το μέλλον του PinCLOUD. Ηλίας Μαγκλογιάννης imaglo@unipi.gr
Το μέλλον του PinCLOUD Ηλίας Μαγκλογιάννης imaglo@unipi.gr Ο πληθυσμός που γερνάει: Ένα πραγματικό πρόβλημα αλλά και μια επιχειρηματική ευκαιρία Indicative market opportunities: Monitoring services - annual
Appendix A3. Table A3.1. General linear model results for RMSE under the unconditional model. Source DF SS Mean Square
Appendix A3 Table A3.1. General linear model results for RMSE under the unconditional model. Source DF SS F Value Pr > F Model 107 374.68 3.50 8573.07
Data sheet Thick Film Chip Resistor 5% - RS Series 0201/0402/0603/0805/1206
Data sheet Thick Film Chip Resistor 5% - RS Series 0201/0402/0603/0805/1206 Scope -This specification applies to all sizes of rectangular-type fixed chip resistors with Ruthenium-base as material. Features
Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz
Solutions to the Schrodinger equation atomic orbitals Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz ybridization Valence Bond Approach to bonding sp 3 (Ψ 2 s + Ψ 2 px + Ψ 2 py + Ψ 2 pz) sp 2 (Ψ 2 s + Ψ 2 px + Ψ 2 py)
± 20% ± 5% ± 10% RENCO ELECTRONICS, INC.
RL15 RL16, RL17, RL18 MINIINDUCTORS CONFORMALLY COATED MARKING The nominal inductance is marked by a color code as listed in the table below. Color Black Brown Red Orange Yellow Green Blue Purple Grey
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
Photometric Data of Lamp
SSP6316-D5: Lamp Intensity Spatial Distribution of Tester Page 1/8 Photometric Data of Lamp Lamp Name: GL-66P36WW Lamp Size: Lamp Weight: Light Area: 6cm 6cm Measured Data of Lamp Voltage: 225. V Current:.287