Class Notes in Statistics and Econometrics Part 2 pptx

Class Notes in Statistics and Econometrics Part 2 pptx

Class Notes in Statistics and Econometrics Part 2 pptx

... + t 2 x 2 2! + t 3 x 3 3! + ···(3.10 .20 ) m x (t) = E[e tx ] = 1 + t E[x] + t 2 2! E[x 2 ] + t 3 3! E[x 3 ] + ···(3.10 .21 ) d dt m x (t) = E[x] + t E[x 2 ] + t 2 2! E[x 3 ] + ···(3.10 .22 ) d 2 dt 2 m x (t) ... of binary digits these same questions would be: is the number between 1 and 16?, then: is it between 1 and 8 or 17 and 24 ?, then, is it between 1 and 4 or 9...

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Class Notes in Statistics and Econometrics Part 9 pptx

Class Notes in Statistics and Econometrics Part 9 pptx

... (18 .2. 24), and Problem 23 7 with y = x to the denom- inator, to get (18 .2. 22) . To prove equation (18 .2. 23) for ˆα, let us work backwards and plug (18 .2. 24) into the righthand side of (18 .2. 23): (18 .2. 25) ... ¯y)  2  (x t − ¯x) 2  (y t − ¯y) 2 . Hint: you are allowed to use (18 .2. 22) . Answer. (18.3 .20 ) R 2 = ˆ β 2  (x t − ¯x) 2  (y t − ¯y) 2 =   (x t...

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Class Notes in Statistics and Econometrics Part 16 pptx

Class Notes in Statistics and Econometrics Part 16 pptx

... formula for s 2 (i): ( 32. 4.10) s 2 (i) = 1 n − k −1  (n − k)s 2 − ˆε 2 i 1 − h ii  Answer. This merely involves re-writing SSE and SSE(i) in terms of s 2 and s 2 (i). ( 32. 4.11) s 2 (i) = SSE(i) n ... different linear combinations, and to ask: Which linear combination of the eleme nts of ˆ β is affected most if one drops the ith observation? Interestingly and, in h...

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Class Notes in Statistics and Econometrics Part 25 pptx

Class Notes in Statistics and Econometrics Part 25 pptx

... |T| INTERCEP 1 66 .29 56 029 2 0.770 625 98 86. 028 0.0001 GYD 72 1 0.08686483 0.015 027 57 5.780 0.0001 GYD72L1 1 0.0 125 8635 0. 023 01437 0.547 0.5853 GYD72L2 1 0.0046 125 89 0. 023 21459 0.199 0.8 428 GYD72L3 ... -0.005511693 0. 023 66979 -0 .23 3 0.81 62 GYD72L4 1 -0.0 027 898 62 0. 023 721 00 -0.118 0.9065 GYD72L5 1 0.00 828 0160 0. 023 54535 0.3 52 0. 725 6 GYD72L6 1 -0.001408690...

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Class Notes in Statistics and Econometrics Part 33 pptx

Class Notes in Statistics and Econometrics Part 33 pptx

... form (66.5.5)  y 1 y 2 y 3 y 4      γ 11 γ 12 γ 13 γ 14 γ 21 γ 22 γ 23 γ 24 γ 31 γ 32 γ 33 γ 34 γ 41 γ 42 γ 43 γ 44     = =  x 1 x 2 x 3 x 4      β 11 β 12 β 13 β 14 β 21 β 22 β 23 β 24 β 31 β 32 β 33 β 34 β 41 β 42 β 43 β 44     +  ε ε ε 1 ε ε ε 2 ε ε ε 3 ε ε ε 4  Answer. Γ ... in the first columns of Γ and B. Let us write these first...

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Class Notes in Statistics and Econometrics Part 1 pdf

Class Notes in Statistics and Econometrics Part 1 pdf

... xxiii Chapter 2. Probability Fields 1 2. 1. The Concept of Probability 1 2. 2. Events as Sets 12 2.3. The Axioms of Probability 20 2. 4. Objective and Subjective Interpretation of Probability 26 2. 5. Counting ... 737 29 .1. Building the Constraint into the Model 738 29 .2. Conversion of an Arbitrary Constraint into a Zero Constraint 740 29 .3. Lagrange Approach to Constrained Le...

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Class Notes in Statistics and Econometrics Part 3 pdf

Class Notes in Statistics and Econometrics Part 3 pdf

... e µ x αt+σ 2 x α 2 t 2 /2 e µ y βt+σ 2 y β 2 t 2 /2 = e (µ x α+µ y β)t+(σ 2 x α 2 +σ 2 y β 2 )t 2 /2 , which is the moment generating function of a N(αµ x + βµ y , α 2 σ 2 x + β 2 σ 2 y ).  We will ... is 1 b−a  • b. 2 points Compute E[x] Answer. E[x] =  b a x b−a dx = 1 b−a b 2 −a 2 2 = a+b 2 since b 2 − a 2 = (b + a)(b − a).  • c. 2 points...

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Class Notes in Statistics and Econometrics Part 4 pps

Class Notes in Statistics and Econometrics Part 4 pps

... VARIANCE 22 1 Answer. Go back to throwing a coin twice independently and define A = {HH, HT }; B = {T H, HH}, and C = {HH, T T }, and x 1 = I A , x 2 = I B , and y = I C . They are pairwise indepen- dent, ... E[y] 2 (E[x 2 ] − E[x] 2 ) + (E[x 2 ] − E[x] 2 )(E[y 2 ] − E[y] 2 ) = E[x 2 ] E[y 2 ] − E[x] 2 E[y] 2 = E[(xy) 2 ] − E[xy] 2 .  8.6. Conditional Expe...

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Class Notes in Statistics and Econometrics Part 5 pps

Class Notes in Statistics and Econometrics Part 5 pps

... < 2 . For the latter we need 1 2 σ 2  ∞ 0 re −r 2 /2 2 dr = 1 2 , set q = r 2 /2 2 , then dq = 1 σ 2 r dr, and the integral becomes 1 2  ∞ 0 e −q dq.  • d. 1 point Are r and φ independent? Answer. ... N(µ, σ 2 ) is (two notations, the second is perhaps more modern:) (10.1.4) f x (x) = 1 √ 2 σ 2 e − (x−µ) 2 2σ 2 = (2 σ 2 ) −1 /2 exp  −(x − µ) 2 /2 2...

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Class Notes in Statistics and Econometrics Part 6 pot

Class Notes in Statistics and Econometrics Part 6 pot

... = y 1 + y 2 2 ( 12. 3.10) y 1 − ¯y = y 1 − y 2 2 ( 12. 3.11) y 2 − ¯y = − y 1 − y 2 2 ( 12. 3. 12) (y 1 − ¯y) 2 + (y 2 − ¯y) 2 = (y 1 − y 2 ) 2 4 + (y 1 − y 2 ) 2 4 ( 12. 3.13) = (y 1 − y 2 ) 2 2 = σ 2  y 1 − ... 1 point Show further that s 2 u = 1 2  3 i=1 (y i − ¯y) 2 = 1 2 (z 2 2 + z 2 3 ). (There is a simple trick!) Conclude from this that s 2...

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