Young Kwark. Warrington College of Business, University of Florida, 1454 Union Road, Gainesville, FL U.S.A.
|
|
- Ξάνθη Μιχαλολιάκος
- 6 χρόνια πριν
- Προβολές:
Transcript
1 ESEC TICE PTFOM O WOESE? STTEGIC TOO FO ONINE ETIES TO ENEFIT FOM TI-PTY INFOMTION Young Kark Warrngton College of usness, Unversty of Florda, 1454 Unon oad, Ganesvlle, F 3611 U.S.. {young.kark@arrngton.ufl.edu} Janqng Chen and Srnvasan aghunathan Jndal School of Management, Unversty of Teas at allas, 800 West Cambell oad, chardson, TX U.S.. {chenjq@utdallas.edu} {sraghu@utdallas.edu} end ervaton of Condtonal Eectaton of Msft Proof. Cumulatve densty functon of s, condtonal on the consumer s true degree of msft λ beng z, can be formulated as P(s # y λ z (1 y (y z, here (@ s the eavsde ste functon that evaluates to zero f the argument s negatve, and to one otherse. The corresondng robablty densty functon s P(s y λ z (1 δ(y z, here δ( s the rac delta dstrbuton that satsfes Usng the ayes a, δ ( d 0 for 0 1 and δ ( for 0 ( λ P z s y ( λ ( λ Ps ( y Ps y zp z ( 1 δ( y z (44 and the condtonal eectaton s 1 1 E( λ s y λ ( 1 δ( y λ dλ 1 λdλ y y MIS Quarterly Vol. 41 No. 3 endsetember 017 1
2 Kark et al. Strategc Tool for Onlne etalers Proof of emma 1 Proof. We denote a 1 (1 γ ( τ, a 1 (1 γ ( τ, b 1( τ α, and c 1( τ. The demand functons n Equaton (8 then can be rertten as: a b c a b c (45 The retaler s otmzaton roblem n stage 1 s characterzed by the frst-order condtons as follos: k ( a b c ( a c b and m (46 The manufacturers otmzaton roblems n stage, gven k and m are characterzed by the frst-order condtons of Equaton (9: (1 k a b c 0 (1 k a b c 0 from hch e can derve the manufacturers otmal retal rces: ab ac 4b c ab ac 4b c (47 Substtutng the retal rces, e can characterze the retaler s equlbrum roft and the manufacturers equlbrum rofts as: [ ( (4 8 ] π k( k b a m a b c a a b c m (4 b c π (1 k b(1 k ba ca m m (4 b c π (1 k b(1 k ca ba m m (4 b c (48 (49 ntcatng the manufacturers artcaton ncentves of sellng on the retaler s latform ( π μ, the retaler sets the otmal k and m by solvng the bndng constrants, π μ, smultaneously: k 1 m (4 b c ( μ μ ba ( a μ ( ca ba μ ( ba ca (4 b c ( a a (4 b c ( a a (50 Substtutng the above otmal retal rces, the commsson rate, and fed fee nto the retaler s roft: MIS Quarterly Vol. 41 No. 3 endsetember 017
3 Kark et al. Strategc Tool for Onlne etalers b(4 b c ( a a 8b ca a π μ μ (4 b c (51 emma 1 follos by substtutng substtutng a, a, a, b, and c nto the above otmal retal rces, the commsson rate, and fed fee. Smlarly, by a, b, and c nto Equaton (51, the retaler s roft can be derved as (1 ατ τ (1 γ π μ μ τ (1 4 ατ (3 4 ατ (5 Proof of Prooston 1 Proof. We notce ε (3 4 αε (1 γ (1 4 αγε (3 4 αγε (1 γ f and only f ε (3 4 αε (1 γ (1 4 αγε (3 4 αγε hch leads to the condton n Inequalty (15. Substtutng τ γε nto Equaton (5, e have the retaler s roft. (1 γ f and only f ε γ γ αε γ αε 3 3 (1 γ (1 4 αγε γ ε(3 4 αγε (1 3 (3 4 (3 ( 4 hch leads to the condton n Inequalty (16. Proof of Corollary Proof. Throughout the aend, e denote. Consumer surlus ( CS derved from roduct can be formulated as: (1 γ (1 y t 1 γ 0 ε ( ( α 1 ε 1 1 CS y t ddy 0 (1 γ (1 y t ε α 1 1 CS (1 y t ddy ε γ (53 here and are defned as n Equaton (5. The total consumer surlus CS CS CS. y substtutng the otmal retal rces from emma 1, e have MIS Quarterly Vol. 41 No. 3 endsetember 017 3
4 Kark et al. Strategc Tool for Onlne etalers t t (1 αγε (1 4 αγε (3 4 αγε (6γε 3 γε 6 γ ε (3 4 αγε 6(1 4 αγε (1 γ CS 6 γε (1 4 αγε (3 4 αγε Smlarly, e can derve the socal elfare from roduct as: γ γ (1 (1 y t 1 0 γ ε ( ( α 1 ε 1 1 SW y 0 (1 γ (1 y t ε t ddy α 1 1 SW (1 y t ddy ε (54 The total socal elfare SW SW SW. y substtutng the otmal retal rces from emma 1, e have SW [ t t ] 3 γε ( (1 αγε 6 γε (1 4 αγε When 0, e notce: CS γ εα t αγε γ ε t αγε αγε αγε 3 (1 γ 6 γ ε(1 4 αγε 6 (1 4 6 (1 4 [1 8 (1 ] SW t αγ ε t αγε αγε (1 γ 6 γ ε(1 4 αγε (1 We can verfy that both are ostve usng a condton that even the consumer th a sgnal ndcatng the largest degree of msft has ncentve to urchase. Proof of Prooston Proof. We notce t 4 αt(1 γ (1 4 αt (3 4 αt f and only f t 4 αt(1 γ (1 4 αt (3 4 αt hch leads to the condton n Inequalty (18. Substtutng τ t nto Equaton (5, e have the retaler s roft. f and only f γ α α 3 3 (1 4 αt t(3 4 αt t (1 [ 3 4 t(3 4 t ] hch leads to the condton n Inequalty (19. 4 MIS Quarterly Vol. 41 No. 3 endsetember 017
5 Kark et al. Strategc Tool for Onlne etalers Proof of Corollary 4 Proof. Consumer surlus ( CS derved from roduct can be formulated as: 1 y 1 1 y (1 (1 γ y t y ( γ ε ( ( α y ε CS t dy y t ddy 0 (1 γ (1 y t α y 1 γ CS (1 y t ddy (1 y t y ε y ε dy (55 here y and y are defned as n Equaton (6 and and CS CS CS. y substtutng the otmal retal rces from emma 1, e have are defned as n Equaton (7. The total consumer surlus [ 3 ] (1 α t (3 4 α t (1 4 α t(1 t γ ε 1 α ( t 3(3 t 3(1 4 α t (5 4 α t(1 γ CS 1 t(1 4 αt (3 4 αt Smlarly, e can derve the socal elfare ( SW derved from roduct as: SW SW ( α y y t dy y t ddy 0 ( (1 ( (1 (1 γ (1 y t α y γ y t ddy y t dy y ε y ε y ε (1 γ (1 y t y γ ε (56 The total socal elfare SW SW SW. y substtutng the otmal retal rces from emma 1, e have. (1 α t (3 4 α t SW 3 t(4 t( γ ε 3(1 4 α t (1 γ 1 t(1 4 αt(3 4 αt When 0, CS f and only f CS αt t(9 4 αt t[3 8 αt(1 α t] [1 8 αt(1 αt] γ ε <0 3 (1 4 αt 8(1 4 αt 8(1 4 αt 1 t(1 4 αt hch leads to the condton n Inequalty (1. SW f and only f SW αt t[1 4αt 4 α t(1 α t] [1 8 α t(1 α t] γ ε (1 4 αt 4(1 4 αt 1 t(1 4 αt hch leads to the condton n Inequalty (. Proof of emma Proof. We denote a 1 (1 γ ( τ, a 1 (1 γ ( τ, b 1( τ α, and c 1( τ. The demand functons n Equaton (8 then can be rertten as MIS Quarterly Vol. 41 No. 3 endsetember 017 5
6 Kark et al. Strategc Tool for Onlne etalers a b c a b c (57 The retaler s otmzaton roblem n stage s characterzed by the frst-order condtons of Equaton (3: a b c c( b( 0 a b c c( b( 0 from hch e can derve the retaler s otmal retal rces as functons of the holesale rces: a b a c ( b c a b a c ( b c The manufacturers otmzaton roblems n stage 1 are characterzed by the frst-order condtons of Equaton (4: (58 1 ( a b c 0 1 ( a b c 0 from hch e can derve the otmal holesale rces: ab ac 4b ab ac 4b c c (59 Substtutng the above otmal holesale rces nto Equaton (58, e derve the otmal retal rces: ab ac ab ac (4 b c ( b c ab ac ab ac (4 b c ( b c (60 Wth the above equlbrum demands, the otmal holesale rces n Equaton (59, and the otmal retal rces n Equaton (60, e have the retaler s equlbrum roft: π ( ( 3 ( a a b ( a b a c( a b a c b 4( b c ( b c ( b c(4 b c (61 emma follos by substtutng a, a, 6 MIS Quarterly Vol. 41 No. 3 endsetember 017 a, b, and c nto the above otmal holesale rces and retal rces. Smlarly, by substtutng a, b, and c nto Equaton (61, the retaler s roft can be derved as
7 Kark et al. Strategc Tool for Onlne etalers π (1 ατ (1 ατ (1 γ 8 α(1 4 ατ 8 τ(1 ατ(3 4 ατ (6 Proof of Prooston 3 Proof. (a We notce ε (3 4 αε (1 γ (1 4 αγε (3 4 αγε (1 γ f and only f ε (3 4 αε (1 γ (1 4 αγε (3 4 αγε hch leads to the condton n Inequalty (9. (b Substtutng τ γε nto Equaton (6, e have the retaler s roft. (1 γ because We notce (1 αγε 4ε (1 γ 3 γ(3 αε(6 γ(7 αε(6 γ(3 4 αε >0 3 3 (1 γ 8 ε (1 4 αγε γ (1 αγε (3 4 αγε ε [15 αε(17 γ(18 αε(0 γ(11 1 αε] (1 γ (1 4 αγε 4(1 αγε (3 4 αγε (1 γ f and only f ε [15 αε(17 γ(18 αε(0 γ(11 1 αε] (1 γ (1 4 αγε 4(1 αγε (3 4 αγε hch leads to the condton n Inequalty (30. Proof of Corollary 6 Proof. s under the latform scheme, e can smlarly derve the consumer surlus ( CS and socal elfare ( SW by substtutng the otmal retal rces n emma nto Equatons (53 and (54, resectvely: (1 αγε t (1 αγε (1 6 αγε tα (1 6 αγε (1 γ (1 αγε(5 6 αγε CS (1 4 αγε 8 α (1 4 αγε 4α ( 1 4αγε 8 γε (1 αγε (3 4 αγε t t γε (1 αγε (3 4 αγε (1 6 αγε α (1 γ (1 4 αγε (5 6 αγε (1 8 αγε (1 αγε 6γε 6(1 4 αγε 4 γ ε (1 αγε (3 4 αγε (1 γ (1 8 αγε (1 αγε MIS Quarterly Vol. 41 No. 3 endsetember 017 7
8 Kark et al. Strategc Tool for Onlne etalers ( ( (1 αγε 6γε 3γε t t (1 αγε γ ε (1 αγε (3 4 αγε (1 γ (1 4 αγε (1 8 αγε (1 αγε SW 1γε 1 4αγε 1 4 αγε (1 4 αγε 4 γ ε (1 αγε (3 4 αγε (1 γ (1 8 αγε (1 αγε When 0, CS (1 γ because 3 3 CS αε t 1 8 αγε(1 αγε 1 αγ ε t(1 4 αγε(6 αγ ε 3 (1 γ (1 4 αγε 1 γ ε (1 4 αγε 1 γ ε (1 4 αγε and e can verfy that the above s ostve usng a condton that even the consumer th a sgnal ndcatng the largest degree of msft has ncentve to urchase. SW (1 γ because SW ( t αε t 1 8 αγε (1 αγε (1 γ (1 4 αγε 1 γ ε(1 4 αγε Proof of Prooston 4 Proof. (a We notce t 4 αt(1 γ (1 4 tα (3 4 tα f and only f t 4 αt(1 γ (1 4 tα (3 4 tα hch leads to the condton n Inequalty (31. (b Substtutng τ t nto Equaton (6, e have the retaler s roft. because (1 αt (1 γ 3 4 αt(3 αt(3 αt 4t t(1 αt (3 4 αt (1 4 αt We notce t αt[17 8 αt(5 3 αt](1 γ (1 4 αt 4(1 αt (3 4 αt f and only f t αt[17 8 αt(5 3 αt](1 γ (1 4 αt 4(1 αt (3 4 αt hch leads to the condton n Inequalty (3. 8 MIS Quarterly Vol. 41 No. 3 endsetember 017
9 Kark et al. Strategc Tool for Onlne etalers Proof of Corollary 8 Proof. s under the latform scheme, e can smlarly derve the consumer surlus ( CS and socal elfare ( SW by substtutng the otmal retal rces n emma nto Equatons (55 and (56, resectvely: (1 α CS (1 α (1 6 α ( (1 6 α (1 α [11 4 α (5 α ](1 γ (1 4 αt 4 8 α (1 4 αt 8(1 4 αt 16 t(1 αt(3 4 αt γε γε[ t(1 αt (3 4 αt (1 6 αt α(1 4 αt(5 6 αt (1 8 αt(1 αt(1 γ ] 1t 1(1 4 α t 4 t (1 αt (3 4 αt (1 8 αt(1 αt (1 γ t t t t t t t t t t (1 α t (1 α t 3( t γ ε t (1 α t(3 4 αt (1 4 α t(1 8 α t(1 α t(1 γ SW [ (1 4 α t 6 t 4 t (1 α t (3 4 α t (1 8 α t(1 α t (1 γ 16 t(1 α t(3 4 α t ( t(1 α t(3 4 α t (1 8 α t(1 α t(1 γ (1 8 α t(1 α t t(3 4 α t (1 4 α t(1 γ 4 t( 1 α t(3 4 α t (1 8 α t(1 α t(1 γ (1 γ 16 (1 α (3 4 α ( (1 α (3 4 α (1 8 α (1 α (1 γ (1 8 α t(1 α t t(3 4 α t (1 4 αt(1 γ 4 t(1 α t(3 4 α t (1 8 α t(1 α t(1 γ (1 γ t t t t t t t t ] When 0, CS f and only f CS αt [1 8 αt(1 αt] γ ε t[1 4 αt(1 ( αt( (3 4 αt] <0 3 (1 4 α t 4 t(1 4 α t 8(1 4 α t hch leads to the condton n Inequalty (33. SW f and only f SW αt 3 t 1 4 αt(1 α t 1 8 α t(1 α t γ ε <0 (1 4 αt 4 t(1 4 αt hch leads to the condton n Inequalty (34. Proof of Prooston 5 Proof. When 0, the latform scheme generates more roft for the retaler than holesale scheme f and only f (1 ατ (1 6 ατ 8 α (1 4 ατ ( μ μ π π 8 α(1 4 ατ (63 hch leads to the condton n Inequalty (35. When >0, e can rerte Inequalty (63 as (1 6 ατ (1 ατ (1 γ (7 6 ατ(1 ατ π π ( μ μ 8 α (1 4 ατ 8 τ (1 ατ (3 4 ατ Therefore, π < π f and only f MIS Quarterly Vol. 41 No. 3 endsetember 017 9
10 Kark et al. Strategc Tool for Onlne etalers τ > ατ ατ ατ ατ α ατ μ μ α (1 4 ατ (1 γ (1 ατ (7 6 ατ (1 (3 4 (1 (1 6 8 (1 4 ( Proof of Prooston 6 Proof. (a Under latform scheme, based on Equaton (5, e have (1 γ (1 ατ τ(3 4 ατ Under holesale scheme, based on Equaton (6, e have (1 γ (1 ατ 4 τ(1 ατ(3 4 ατ (b From the above dervatves, e have ( π π (1 γ (1 ατ (1 ατ τ(3 4 ατ 4(1 ατ Proof of Prooston 7 Proof. In the qualty-domnates-ft case th 0, CS < CS because (1 αγε α(1 4 αγε (6 γε 3γε 6αγ ε 6 αγε (1 4 αγε t t CS CS 4 αγε (1 4 αγε and e can verfy that the above s negatve usng a condton that even the consumer th a sgnal ndcatng the largest degree of msft has ncentve to urchase. SW < SW because t t SW SW 1 γε (1 4 αγε 3 γε (1 αγε <0 In the ft-domnates-qualty case th 0, CS < CS because (1 α t 1 α t(1 4 αt 3t 3 t( αt( (1 4 αt( α(1 4 αt γ ε CS CS 4 αt(1 4 α t and e can verfy that the above s negatve usng a condton that even the consumer th a sgnal ndcatng the largest degree of msft has ncentve to urchase. SW < SW because (1 αt 1 t 3 t ( γ ε (1 α t 3 t 9 α(3 4 αt t α(1 4 α t γ ε SW SW <0 4 t(1 4 αt 4 αt(1 4 αt here the second nequalty s by alyng a condton that even the consumer th a sgnal ndcatng the largest degree of msft has ncentve to urchase. 10 MIS Quarterly Vol. 41 No. 3 endsetember 017
11 Kark et al. Strategc Tool for Onlne etalers nalyss of Model Etensons Proof of emma 3 and esults on the Effects of Precson Imrovement under Non-Zero Qualty fference Proof. The roof s the same as that of emma 1, ecet that e no have denote a 1 [ γδ (1 γ ]( τ and a 1 [ γδ (1 γ ]( τ. y substtutng a, a, b, and c nto the otmal retal rces, commsson rate, and fed fee derved n the roof of emma 1, e obtan the results n emma 3. Smlarly, e can derve the retaler s roft as (1 ατ τ γ δ (1 γ γδ (1 γ π μ μ τ (1 4 ατ (3 4 ατ (3 4 ατ (a In qualty-domnates-ft case th δ : (1 γ because (1 γ f and only f ε 4αεδ (1 γ (1 4 αγε (3 4 αγε ε 4αεδ (1 γ (1 4 αγε (3 4 αγε That s, (1 γ f and only f δ <(3 4 αγε [4 α(1 4 αγε ]. (1 γ f and only f π ε δ 3 4 αγε(3 4 αγε 3 3 (1 γ (1 4 αγε γ ε(3 4 αγε That s, (1 γ f and only f 3 3 δ < γ ε (3 4 αγε [(1 4 αγε (3 1αγε 16 α γ ε ]. ll together, e can conclude that the results on the effects of recson mrovement reman the same as n Prooston 1 hen δ s small. (b In ft-domnates-qualty case th δ : because t 4αδ t (1 4 αt (3 4 αt f and only f t 4αδ t (1 4 αt (3 4 αt MIS Quarterly Vol. 41 No. 3 endsetember
12 Kark et al. Strategc Tool for Onlne etalers That s, f and only f δ <(3 4 αt [4 α(1 4 αt ]. f and only f π t δ 3 4 α t(3 4 α t. 3 3 (1 4 αt t(3 4 αt That s, f and only f 3 3 δ < t (3 4 αt [(1 4 αt (3 1αt 16 α t ]. ll together, e can conclude that the results on the effects of recson mrovement reman the same as n Prooston hen δ s small. Proof of emma 4 and esults on the Effects of Precson Imrovement under Non-Zero Qualty fference Proof. The roof s the same as that of emma, ecet that e no have a 1 [ γδ (1 γ ]( τ and a 1 [ γδ (1 γ ]( τ. y substtutng a, a, b, and c nto the otmal holesale rces, retal rces, and retaler roft derved n the roof of emma, e obtan the results as n emma 4. Smlarly, e can derve the retaler s roft as π (1 ατ (1 ατ γδ (1 γ 8 α(1 4 ατ 8 τ(1 ατ(3 4 ατ (a In qualty-domnates-ft case th δ : (1 γ because ε 4αεδ (1 γ (1 4 αγε (3 4 αγε (1 γ f and only f ε 4αεδ (1 γ (1 4 αγε (3 4 αγε That s, (1 γ f and only f δ <(3 4 αγε [4 α(1 4 αγε ]. (1 γ because ε αεδ[17 8 αγε(5 3 αγε] (1 γ (1 4 αγε 4(1 αγε (3 4 αγε (1 γ f and only f 1 MIS Quarterly Vol. 41 No. 3 endsetember 017
13 Kark et al. Strategc Tool for Onlne etalers ε αεδ[17 8 αγε(5 3 αγε]. (1 γ (1 4 αγε 4(1 αγε (3 4 αγε That s, (1 γ f and only f δ <(1 αγε(3 4 αγε [ α(1 4 αγε(17 40αγε 4 α γ ε ]. (1 γ because π ε (1 αγε (1 αγε [3 4 αγε (3 αγε (3 αγε ] δ 3 3 (1 γ (1 4 αγε 8 γ ε (1 αγε (3 4 αγε ll together, e can conclude that the results on the effects of recson mrovement reman the same as n Prooston 3 hen δ s small. (b In ft-domnates-qualty case th δ : because t 4αδ t (1 4 αt (3 4 αt f and only f t 4αδ t (1 4 αt (3 4 αt That s, f and only f δ α α α <(3 4 t [4 (1 4 t ]. because t αtδ [17 8 αt(5 3 αt] (1 4 αt 4(1 αt (3 4 αt f and only f t αδ t [17 8 αt(5 3 αt]. (1 4 αt 4(1 αt (3 4 αt That s, f and only f δ α α α α α α < (1 t (3 4 t [ (1 4 t (17 40 t 4 t ]. because π t(1 αt (1 αt[3 4 αt(3 αt(3 αt] δ 3 3 (1 4 αt 8 t(1 αt (3 4 αt ll together, e can conclude that the results on the effects of recson mrovement reman the same as n Prooston 4 hen δ s small. MIS Quarterly Vol. 41 No. 3 endsetember
14 Kark et al. Strategc Tool for Onlne etalers Proof and esults on the Effects of Precson Imrovement under fferent Precsons mong Consumers Proof. (a Effect of Thrd-Party Informaton under Platform Scheme enotng the notatons as a a ( a a, b ( a a ( τ ( a a α, and c ( a a ( τ hen 0, e can relcate the same rocess as n the roof of emma 1. ecause a a 1, t s easy to see that all terms are reduced to those n our baselne model by relacng τ th a ne term τ, τ ( a a τ τ [ aτ a τ ], here τ { γ ε, } and τ { γ ε, } t t th τ γ ε for the qualty-domnates-ft case and τ t for the ft-domnates-qualty case. Therefore, e can obtan the otmal retal rces and the retaler s roft: τ 1 4ατ (1 ατ τ π μ μ (1 4 ατ Notce that n emma 1 n our base lne model, τ γε n the qualty-domnates-ft case and τ t n the ft-domnates-qualty case, here τ γ ε n the qualty-domnates-ft case and τ t n the ft-domnates-qualty case. In the case th dfferent recsons across consumers, t s also found that τ γ a ( a a γ ε ( a γ a γ and τ γ γ ε γ γ > n the qualty-domnates-ft case and a ( a a ( a a 0 τ a ( a a t ( a a and τ a ( a a t ( a a n the ft-domnates-qualty case. ecause the sgns of the mact of recson arameters on τ n the baselne model and τ n the the model th heterogeneous recsons are the same, and the equlbrum quanttes n the to models dffer only on ths varable, t s easy to see the effect of the mroved recson from the thrd-arty nformaton s qualtatvely same n both these models. We net sho the detaled analyss under the latform scheme. (a.1 In the qualty-domnates-ft case: (1 γ because a εγ (1 γ a γ a γ 4αεγ γ (1 γ because a εγ (1 γ a γ a γ 4αεγ γ (1 γ because (1 γ because 14 MIS Quarterly Vol. 41 No. 3 endsetember 017 a ( a a ( a a π εγ γ γ 3 (1 γ γ γ 4αεγ γ
15 Kark et al. Strategc Tool for Onlne etalers π a εγ a γ a γ 3 (1 γ a γ a γ 4αεγ γ (a. In the ft-domnates-qualty case: >0 because a t a a 4α t >0 because a t a a 4α t >0 because a t( a a ( a a 4 t π 3 α >0 because (b Effect of Thrd-Party Informaton under Wholesale Scheme a t( a a ( a a 4 t π 3 α Smlarly, usng the notatons defned a a ( a a, b ( a a ( τ ( a a α, and c ( a a ( τ hen 0, e can relcate the same rocess as n the roof of emma. elacng τ th τ ( a a τ τ [ aτ a τ ], here τ { γ ε, } and τ { γ ε, } th τ γ ε for the qualty-domnates-ft case and τ for the ft-domnates-qualty case, t t e can smlarly derve the equlbrum outcomes. The otmal holesale rces, retal rces, and the retaler s roft are obtaned: τ 1 4ατ 1 6ατ 4 α(1 4 ατ t π (1 ατ 8 α(1 4 ατ s shon under the latform scheme, e sho the analyss under the holesale scheme. (b.1 In the qualty-domnates-ft case: (1 γ because MIS Quarterly Vol. 41 No. 3 endsetember
16 Kark et al. Strategc Tool for Onlne etalers a εγ (1 γ a γ a γ 4αεγ γ (1 γ because a εγ (1 γ a γ a γ 4αεγ γ (1 γ because a εγ (1 γ a γ a γ 4αεγ γ (1 γ because a εγ (1 γ a γ a γ 4αεγ γ (1 γ because π a εγ a γ a γ αεγ γ 3 (1 γ a γ a γ 4αεγ γ (1 γ because π a εγ a γ a γ αεγ γ 3 (1 γ a γ a γ 4αεγ γ (b. In the ft-domnates-qualty case: >0 because >0 because >0 because a t a a 4α t a t a a 4α t a t a a 4α t 16 MIS Quarterly Vol. 41 No. 3 endsetember 017
17 Kark et al. Strategc Tool for Onlne etalers >0 because a t a a 4α t <0 because π a t a a α t 3 a a 4α t <0 because π a t a a α t 3 a a 4α t ll together, e can conclude that the man results from the baselne model stay the same quanttatvely and the nsghts carry over to the case th dfferent consumer recsons. MIS Quarterly Vol. 41 No. 3 endsetember
ΗΥ537: Έλεγχος Πόρων και Επίδοση σε Ευρυζωνικά Δίκτυα,
ΗΥ537: Έλεγχος Πόρων και Επίδοση σε Ευρυζωνικά Δίκτυα Βασίλειος Σύρης Τμήμα Επιστήμης Υπολογιστών Πανεπιστήμιο Κρήτης Εαρινό εξάμηνο 2008 Economcs Contents The contet The basc model user utlty, rces and
Διαβάστε περισσότεραα & β spatial orbitals in
The atrx Hartree-Fock equatons The most common method of solvng the Hartree-Fock equatons f the spatal btals s to expand them n terms of known functons, { χ µ } µ= consder the spn-unrestrcted case. We
Διαβάστε περισσότεραA Class of Orthohomological Triangles
A Class of Orthohomologcal Trangles Prof. Claudu Coandă Natonal College Carol I Craova Romana. Prof. Florentn Smarandache Unversty of New Mexco Gallup USA Prof. Ion Pătraşcu Natonal College Fraţ Buzeşt
Διαβάστε περισσότεραOne and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF
One and two partcle densty matrces for sngle determnant HF wavefunctons One partcle densty matrx Gven the Hartree-Fock wavefuncton ψ (,,3,!, = Âϕ (ϕ (ϕ (3!ϕ ( 3 The electronc energy s ψ H ψ = ϕ ( f ( ϕ
Διαβάστε περισσότεραΠανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων.
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 2015 ιδάσκων : Α. Μουχτάρης εύτερη Σειρά Ασκήσεων Λύσεις Ασκηση 1. 1. Consder the gven expresson for R 1/2 : R 1/2
Διαβάστε περισσότεραConstant Elasticity of Substitution in Applied General Equilibrium
Constant Elastct of Substtuton n Appled General Equlbru The choce of nput levels that nze the cost of producton for an set of nput prces and a fed level of producton can be epressed as n sty.. f Ltng for
Διαβάστε περισσότεραMulti-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme
Διαβάστε περισσότεραMulti-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t ();
Διαβάστε περισσότεραCHAPTER 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 περισσότεραEvery 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 περισσότεραSupplementary materials for Statistical Estimation and Testing via the Sorted l 1 Norm
Sulementary materals for Statstcal Estmaton and Testng va the Sorted l Norm Małgorzata Bogdan * Ewout van den Berg Weje Su Emmanuel J. Candès October 03 Abstract In ths note we gve a roof showng that even
Διαβάστε περισσότεραFinite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
Διαβάστε περισσότεραVariance of Trait in an Inbred Population. Variance of Trait in an Inbred Population
Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Revew of Mean Trat Value n Inbred Populatons We showed n the last lecture that for a populaton
Διαβάστε περισσότεραMatrices 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 περισσότερα8.324 Relativistic Quantum Field Theory II
Lecture 8.3 Relatvstc Quantum Feld Theory II Fall 00 8.3 Relatvstc Quantum Feld Theory II MIT OpenCourseWare Lecture Notes Hon Lu, Fall 00 Lecture 5.: RENORMALIZATION GROUP FLOW Consder the bare acton
Διαβάστε περισσότερα1 Complete Set of Grassmann States
Physcs 610 Homework 8 Solutons 1 Complete Set of Grassmann States For Θ, Θ, Θ, Θ each ndependent n-member sets of Grassmann varables, and usng the summaton conventon ΘΘ Θ Θ Θ Θ, prove the dentty e ΘΘ dθ
Διαβάστε περισσότερα8.1 The Nature of Heteroskedasticity 8.2 Using the Least Squares Estimator 8.3 The Generalized Least Squares Estimator 8.
8.1 The Nature of Heteroskedastcty 8. Usng the Least Squares Estmator 8.3 The Generalzed Least Squares Estmator 8.4 Detectng Heteroskedastcty E( y) = β+β 1 x e = y E( y ) = y β β x 1 y = β+β x + e 1 Fgure
Διαβάστε περισσότεραHOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
Διαβάστε περισσότεραSymplecticity of the Störmer-Verlet algorithm for coupling between the shallow water equations and horizontal vehicle motion
Symplectcty of the Störmer-Verlet algorthm for couplng between the shallow water equatons and horzontal vehcle moton by H. Alem Ardakan & T. J. Brdges Department of Mathematcs, Unversty of Surrey, Guldford
Διαβάστε περισσότεραSupporting information for: Functional Mixed Effects Model for Small Area Estimation
Supportng nformaton for: Functonal Mxed Effects Model for Small Area Estmaton Tapabrata Mat 1, Samran Snha 2 and Png-Shou Zhong 1 1 Department of Statstcs & Probablty, Mchgan State Unversty, East Lansng,
Διαβάστε περισσότεραC.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 περισσότεραDuals of the QCQP and SDP Sparse SVM. Antoni B. Chan, Nuno Vasconcelos, and Gert R. G. Lanckriet
Duals of the QCQP and SDP Sparse SVM Anton B. Chan, Nuno Vasconcelos, and Gert R. G. Lanckret SVCL-TR 007-0 v Aprl 007 Duals of the QCQP and SDP Sparse SVM Anton B. Chan, Nuno Vasconcelos, and Gert R.
Διαβάστε περισσότεραPhasor Diagram of an RC Circuit V R
ESE Lecture 3 Phasor Dagram of an rcut VtV m snt V t V o t urrent s a reference n seres crcut KVL: V m V + V V ϕ I m V V m ESE Lecture 3 Phasor Dagram of an L rcut VtV m snt V t V t L V o t KVL: V m V
Διαβάστε περισσότεραPhys460.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 περισσότεραMath221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
Διαβάστε περισσότεραFractional Colorings and Zykov Products of graphs
Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is
Διαβάστε περισσότεραNotes on the Open Economy
Notes on the Open Econom Ben J. Heijdra Universit of Groningen April 24 Introduction In this note we stud the two-countr model of Table.4 in more detail. restated here for convenience. The model is Table.4.
Διαβάστε περισσότεραEE512: 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 περισσότεραRight Rear Door. Let's now finish the door hinge saga with the right rear door
Right Rear Door Let's now finish the door hinge saga with the right rear door You may have been already guessed my steps, so there is not much to describe in detail. Old upper one file:///c /Documents
Διαβάστε περισσότεραderivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
Διαβάστε περισσότεραGeneralized Fibonacci-Like Polynomial and its. Determinantal Identities
Int. J. Contemp. Math. Scences, Vol. 7, 01, no. 9, 1415-140 Generalzed Fbonacc-Le Polynomal and ts Determnantal Identtes V. K. Gupta 1, Yashwant K. Panwar and Ompraash Shwal 3 1 Department of Mathematcs,
Διαβάστε περισσότεραSrednicki Chapter 55
Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third
Διαβάστε περισσότεραLECTURE 4 : ARMA PROCESSES
LECTURE 4 : ARMA PROCESSES Movng-Average Processes The MA(q) process, s defned by (53) y(t) =µ ε(t)+µ 1 ε(t 1) + +µ q ε(t q) =µ(l)ε(t), where µ(l) =µ +µ 1 L+ +µ q L q and where ε(t) s whte nose An MA model
Διαβάστε περισσότεραHomework 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 περισσότερα2 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 περισσότεραHomework 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 περισσότεραANSWERSHEET (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 περισσότεραDerivation for Input of Factor Graph Representation
Dervaton for Input of actor Graph Representaton Sum-Product Prmal Based on the orgnal LP formulaton b x θ x + b θ,x, s.t., b, b,, N, x \ b x = b we defne V as the node set allocated to the th core. { V
Διαβάστε περισσότεραCommutative Monoids in Intuitionistic Fuzzy Sets
Commutative Monoids in Intuitionistic Fuzzy Sets S K Mala #1, Dr. MM Shanmugapriya *2 1 PhD Scholar in Mathematics, Karpagam University, Coimbatore, Tamilnadu- 641021 Assistant Professor of Mathematics,
Διαβάστε περισσότεραCRASH COURSE IN PRECALCULUS
CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter
Διαβάστε περισσότεραSection 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 περισσότεραCAPM. VaR Value at Risk. VaR. RAROC Risk-Adjusted Return on Capital
C RAM 3002 C RAROC Rsk-Adjusted Return on Captal C C RAM Rsk-Adjusted erformance Measure C RAM RAM Bootstrap RAM C RAROC RAM Bootstrap F830.9 A CAM 2 CAM 3 Value at Rsk RAROC Rsk-Adjusted Return on Captal
Διαβάστε περισσότεραNeutralino contributions to Dark Matter, LHC and future Linear Collider searches
Neutralno contrbutons to Dark Matter, LHC and future Lnear Collder searches G.J. Gounars Unversty of Thessalonk, Collaboraton wth J. Layssac, P.I. Porfyrads, F.M. Renard and wth Th. Dakonds for the γz
Διαβάστε περισσότερα35 90% 30 35 85% 2000 2008 + 2 2008 22-37 1997 26 1953- 2000 556 888 0.63 2001 0.58 2002 0.60 0.55 2004 0.51 2005 0.47 0.45 0.43 2009 0.
184 C913.7 A 1672-616221 2-21- 7 Vol.7 No.2 Apr., 21 1 26 1997 26 25 38 35 9% 8% 3 35 85% 2% 3 8% 21 1 2 28 + 2 1% + + 2 556 888.63 21 572 986.58 22 657 1 97 23 674 1 229.55 24 711 1 48.51 25 771 1 649.47
Διαβάστε περισσότεραExample 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 περισσότεραΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Τέλος Ενότητας Χρηματοδότηση Το παρόν εκπαιδευτικό υλικό έχει αναπτυχθεί
Διαβάστε περισσότεραΠΤΥΧΙΑΚΗ/ ΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ
ΑΡΙΣΤΟΤΕΛΕΙΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ ΣΧΟΛΗ ΘΕΤΙΚΩΝ ΕΠΙΣΤΗΜΩΝ ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ ΠΤΥΧΙΑΚΗ/ ΙΠΛΩΜΑΤΙΚΗ ΕΡΓΑΣΙΑ «ΚΛΑ ΕΜΑ ΟΜΑ ΑΣ ΚΑΤΑ ΠΕΡΙΠΤΩΣΗ ΜΕΣΩ ΤΑΞΙΝΟΜΗΣΗΣ ΠΟΛΛΑΠΛΩΝ ΕΤΙΚΕΤΩΝ» (Instance-Based Ensemble
Διαβάστε περισσότεραMain 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 περισσότεραMean-Variance Analysis
Mean-Variance Analysis Jan Schneider McCombs School of Business University of Texas at Austin Jan Schneider Mean-Variance Analysis Beta Representation of the Risk Premium risk premium E t [Rt t+τ ] R1
Διαβάστε περισσότεραPower allocation under per-antenna power constraints in multiuser MIMO systems
33 0 Vol.33 No. 0 0 0 Journal on Councatons October 0 do:0.3969/.ssn.000-436x.0.0.009 IO 009 IO IO N94 A 000-436X(0)0-007-06 Power allocaton under er-antenna ower constrants n ultuser IO systes HAN Sheng-qan,
Διαβάστε περισσότεραc Key words: cultivation of blood, two-sets blood culture, detection rate of germ Vol. 18 No
2008 245 2 1) 1) 2) 3) 4) 1) 1) 1) 1) 1), 2) 1) 2) 3) / 4) 20 3 24 20 8 18 2001 2 2 2004 2 59.0 2002 1 2004 12 3 2 22.1 1 14.0 (CNS), Bacillus c 2 p 0.01 2 1 31.3 41.9 21.4 1 2 80 CNS 2 1 74.3 2 Key words:
Διαβάστε περισσότερα4.6 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 περισσότεραBayesian 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
Διαβάστε περισσότεραSolutions 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 περισσότεραDESIGN 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 περισσότεραOrdinal 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 περισσότεραEcon 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 περισσότεραΜΕΡΟΣ ΙΙΙ ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ
ΜΕΡΟΣ ΙΙΙ ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ ΓΕΝΙΚΕΣ ΠΑΡΑΤΗΡΗΣΕΙΣ ΕΠΙΔΡΑΣΗ Μ.Β ΣΤΙΣ ΙΔΙΟΤΗΤΕΣ ΠΟΛΥΜΕΡΩΝ ΜΑΘΗΜΑΤΙΚΗ ΠΕΡΙΓΡΑΦΗ ΤΗΣ ΚΑΤΑΝΟΜΗΣ ΜΟΡΙΑΚΟΥ ΒΑΡΟΥΣ ΣΥΝΑΡΤΗΣΗ ΠΙΘΑΝΟΤΗΤΟΣ (ΔΙΑΦΟΡΙΚΗ) Probablty Densty Functon
Διαβάστε περισσότεραDerivation of Optical-Bloch Equations
Appendix C Derivation of Optical-Bloch Equations In this appendix the optical-bloch equations that give the populations and coherences for an idealized three-level Λ system, Fig. 3. on page 47, will be
Διαβάστε περισσότεραST5224: 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 περισσότεραSecond Order RLC Filters
ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor
Διαβάστε περισσότεραOn Integrability Conditions of Derivation Equations in a Subspace of Asymmetric Affine Connection Space
Flomat 9:0 (05), 4 47 DOI 0.98/FI504Z ublshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba valable at: htt://www.mf.n.ac.rs/flomat On Integrablty Condtons of Dervaton Equatons n a Subsace
Διαβάστε περισσότεραNowhere-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 περισσότερα3.4 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 περισσότεραGeneralized Linear Model [GLM]
Generalzed Lnear Model [GLM]. ก. ก Emal: nkom@kku.ac.th A Lttle Hstory Multple lnear regresson normal dstrbuton & dentty lnk (Legendre, Guass: early 19th century). ANOVA normal dstrbuton & dentty lnk (Fsher:
Διαβάστε περισσότεραΜεταπτυχιακή διατριβή. Ανδρέας Παπαευσταθίου
Σχολή Γεωτεχνικών Επιστημών και Διαχείρισης Περιβάλλοντος Μεταπτυχιακή διατριβή Κτίρια σχεδόν μηδενικής ενεργειακής κατανάλωσης :Αξιολόγηση συστημάτων θέρμανσης -ψύξης και ΑΠΕ σε οικιστικά κτίρια στην
Διαβάστε περισσότεραΕΘΝΙΚΗ ΥΟΛΗ ΔΗΜΟΙΑ ΔΙΟΙΚΗΗ ΙH ΕΚΠΑΙΔΕΤΣΙΚΗ ΕΙΡΑ ΤΜΗΜΑ ΚΟΙΝΩΝΙΚΗΣ ΔΙΟΙΚΗΣΗΣ ΔΙΟΙΚΗΣΗ ΜΟΝΑΔΩΝ ΥΓΕΙΑΣ ΤΕΛΙΚΗ ΕΡΓΑΣΙΑ
Δ ΕΘΝΙΚΗ ΥΟΛΗ ΔΗΜΟΙΑ ΔΙΟΙΚΗΗ ΙH ΕΚΠΑΙΔΕΤΣΙΚΗ ΕΙΡΑ ΤΜΗΜΑ ΚΟΙΝΩΝΙΚΗΣ ΔΙΟΙΚΗΣΗΣ ΔΙΟΙΚΗΣΗ ΜΟΝΑΔΩΝ ΥΓΕΙΑΣ ΤΕΛΙΚΗ ΕΡΓΑΣΙΑ Θέμα: «Αποκενηρωμένες δομές ζηο ζύζηημα σγείας ηης Ασζηρίας : Μια ζσζηημαηική θεωρηηική
Διαβάστε περισσότεραEstimators when the Correlation Coefficient. is Negative
It J Cotemp Math Sceces, Vol 5, 00, o 3, 45-50 Estmators whe the Correlato Coeffcet s Negatve Sad Al Al-Hadhram College of Appled Sceces, Nzwa, Oma abur97@ahoocouk Abstract Rato estmators for the mea of
Διαβάστε περισσότεραSome generalization of Cauchy s and Wilson s functional equations on abelian groups
Aequat. Math. 89 (2015), 591 603 c The Author(s) 2013. Ths artcle s publshed wth open access at Sprngerlnk.com 0001-9054/15/030591-13 publshed onlne December 6, 2013 DOI 10.1007/s00010-013-0244-4 Aequatones
Διαβάστε περισσότεραCS 1675 Introduction to Machine Learning Lecture 7. Density estimation. Milos Hauskrecht 5329 Sennott Square
CS 675 Itroducto to Mache Learg Lecture 7 esty estmato Mlos Hausrecht mlos@cs.tt.edu 539 Seott Square ata: esty estmato {.. } a vector of attrbute values Objectve: estmate the model of the uderlyg robablty
Διαβάστε περισσότεραInverse 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 περισσότεραGenerating Set of the Complete Semigroups of Binary Relations
Applied Mathematics 06 7 98-07 Published Online January 06 in SciRes http://wwwscirporg/journal/am http://dxdoiorg/036/am067009 Generating Set of the Complete Semigroups of Binary Relations Yasha iasamidze
Διαβάστε περισσότεραLaplace s Equation in Spherical Polar Coördinates
Laplace s Equation in Spheical Pola Coödinates C. W. David Dated: Januay 3, 001 We stat with the pimitive definitions I. x = sin θ cos φ y = sin θ sin φ z = cos θ thei inveses = x y z θ = cos 1 z = z cos1
Διαβάστε περισσότεραForced Pendulum Numerical approach
Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.
Διαβάστε περισσότεραReminders: 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 περισσότεραSecond 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 περισσότεραExample 1: THE ELECTRIC DIPOLE
Example 1: THE ELECTRIC DIPOLE 1 The Electic Dipole: z + P + θ d _ Φ = Q 4πε + Q = Q 4πε 4πε 1 + 1 2 The Electic Dipole: d + _ z + Law of Cosines: θ A B α C A 2 = B 2 + C 2 2ABcosα P ± = 2 ( + d ) 2 2
Διαβάστε περισσότεραLecture 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 περισσότεραStatistical 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 περισσότεραk 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 περισσότεραΑπόκριση 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 περισσότεραSCITECH 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 περισσότεραSolutions for Mathematical Physics 1 (Dated: April 19, 2015)
Solutons for Mathematcal Physcs 1 Dated: Aprl 19, 215 3.2.3 Usng the vectors P ê x cos θ + ê y sn θ, Q ê x cos ϕ ê y sn ϕ, R ê x cos ϕ ê y sn ϕ, 1 prove the famlar trgonometrc denttes snθ + ϕ sn θ cos
Διαβάστε περισσότεραCongruence 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 περισσότεραVol. 34 ( 2014 ) No. 4. J. of Math. (PRC) : A : (2014) Frank-Wolfe [7],. Frank-Wolfe, ( ).
Vol. 4 ( 214 ) No. 4 J. of Math. (PRC) 1,2, 1 (1., 472) (2., 714) :.,.,,,..,. : ; ; ; MR(21) : 9B2 : : A : 255-7797(214)4-759-7 1,,,,, [1 ].,, [4 6],, Frank-Wolfe, Frank-Wolfe [7],.,,.,,,., UE,, UE. O-D,,,,,
Διαβάστε περισσότεραExercises 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 περισσότεραAn Inventory of Continuous Distributions
Appendi A An Inventory of Continuous Distributions A.1 Introduction The incomplete gamma function is given by Also, define Γ(α; ) = 1 with = G(α; ) = Z 0 Z 0 Z t α 1 e t dt, α > 0, >0 t α 1 e t dt, α >
Διαβάστε περισσότεραSection 7.6 Double and Half Angle Formulas
09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)
Διαβάστε περισσότεραThe Pohozaev identity for the fractional Laplacian
The Pohozaev identity for the fractional Laplacian Xavier Ros-Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya (joint work with Joaquim Serra) Xavier Ros-Oton (UPC) The Pohozaev
Διαβάστε περισσότεραΜηχανική 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 περισσότερα2. 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 περισσότεραΜΕΡΟΣ ΙΙI ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ
ΜΕΡΟΣ ΙΙI ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ ΓΕΝΙΚΕΣ ΠΑΡΑΤΗΡΗΣΕΙΣ ΕΠΙ ΡΑΣΗ Μ.Β ΣΤΙΣ Ι ΙΟΤΗΤΕΣ ΠΟΛΥΜΕΡΩΝ ΜΑΘΗΜΑΤΙΚΗ ΠΕΡΙΓΡΑΦΗ ΤΗΣ ΚΑΤΑΝΟΜΗΣ ΜΟΡΙΑΚΟΥ ΒΑΡΟΥΣ ΣΥΝΑΡΤΗΣΗ ΠΙΘΑΝΟΤΗΤΟΣ ( ΙΑΦΟΡΙΚΗ) Probablty Densty Functon
Διαβάστε περισσότεραΕΘΝΙΚΗ ΣΧΟΛΗ ΗΜΟΣΙΑΣ ΙΟΙΚΗΣΗΣ
Ε ΕΘΝΙΚΗ ΣΧΟΛΗ ΗΜΟΣΙΑΣ ΙΟΙΚΗΣΗΣ ΙE ΕΚΠΑΙ ΕΥΤΙΚΗ ΣΕΙΡΑ ΤΜΗΜΑ ΓΕΝΙΚΗΣ ΙΟΙΚΗΣΗΣ ΤΕΛΙΚΗ ΕΡΓΑΣΙΑ Θέµα: Εκπαίδευση: Μέσο ανάπτυξης του ανθρώπινου παράγοντα και εργαλείο διοικητικής µεταρρύθµισης Επιβλέπουσα:
Διαβάστε περισσότεραAnalytical Expression for Hessian
Analytical Expession fo Hessian We deive the expession of Hessian fo a binay potential the coesponding expessions wee deived in [] fo a multibody potential. In what follows, we use the convention that
Διαβάστε περισσότεραPg 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 περισσότεραAppendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee
Appendi to On the stability of a compressible aisymmetric rotating flow in a pipe By Z. Rusak & J. H. Lee Journal of Fluid Mechanics, vol. 5 4, pp. 5 4 This material has not been copy-edited or typeset
Διαβάστε περισσότερα8. ΕΠΕΞΕΡΓΑΣΊΑ ΣΗΜΆΤΩΝ. ICA: συναρτήσεις κόστους & εφαρμογές
8. ΕΠΕΞΕΡΓΑΣΊΑ ΣΗΜΆΤΩΝ ICA: συναρτήσεις κόστους & εφαρμογές ΚΎΡΤΩΣΗ (KUROSIS) Αθροιστικό (cumulant) 4 ης τάξεως μίας τ.μ. x με μέσο όρο 0: kurt 4 [ x] = E[ x ] 3( E[ y ]) Υποθέτουμε διασπορά=: kurt[ x]
Διαβάστε περισσότεραHIV HIV HIV HIV AIDS 3 :.1 /-,**1 +332
,**1 The Japanese Society for AIDS Research The Journal of AIDS Research +,, +,, +,, + -. / 0 1 +, -. / 0 1 : :,**- +,**. 1..+ - : +** 22 HIV AIDS HIV HIV AIDS : HIV AIDS HIV :HIV AIDS 3 :.1 /-,**1 HIV
Διαβάστε περισσότεραProblem Set 3: Solutions
CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C
Διαβάστε περισσότεραTMA4115 Matematikk 3
TMA4115 Matematikk 3 Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet Trondheim Spring 2010 Lecture 12: Mathematics Marvellous Matrices Andrew Stacey Norges Teknisk-Naturvitenskapelige Universitet
Διαβάστε περισσότερα