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Course 4 May 2000 Multiple Choice Exams

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g =<br />

37. From Section 5.4.3 of KPW, µ r rβ<br />

=.5 r has an exponential distribution with<br />

mean 0.2. Because the exponential distribution is a scale family (KPW p. 83), r has an<br />

exponential distribution with mean 0.4.<br />

Also, vbrg = rβbβ + 1g<br />

= . 75r.<br />

For Bühlmann credibility,<br />

2<br />

v= Evr [()] = E(.75 r) = .75(.4) = .3, a = Var[ µ ( r)] = Var(.5 r) = .25(.4) = .04.<br />

1<br />

Then, Z = = .1176.<br />

(C)<br />

1 + .3/.04<br />

38. The formula is on p. 84 of KM. For this problem,<br />

ˆ ˆ 2<br />

⎡ 2 4 8 ⎤<br />

VS ˆ[ (35)] = S (35) ⎢ + +<br />

.<br />

50(48) 45(41) (41 −c)(33 −c)<br />

⎥ The required ratio<br />

⎣<br />

⎦<br />

8<br />

is.011467 = .000833 + .002168 +<br />

leading to the quadratic<br />

(41 −c)(33 −c)<br />

c<br />

2<br />

− 74c<br />

+ 408= 0 and the solution is c = 6. (B)<br />

39. From (17.28) on p. 529 of PR, ρ1 = φ1 and so φ1<br />

= .5. From (17.20) on p. 527,<br />

µ = δ /(1 − φ1) and so δ = 0. The model is yt = .5yt −1<br />

+ εt<br />

(from (17.18) on p. 527). We<br />

have ε t = y t −. 5y<br />

t −1 . Then, 2 2 2 2<br />

S = ( −1.7− 1) + (1.5 + .85) + ( −2 − .75) + (1.5+ 1) = 26.625.<br />

(E)<br />

40. Method I: The sample mean is 2 and the sample variance is 1.495. Of the three<br />

discrete distribution choices (the last two choices are continuous and so cannot be the<br />

model for this data set), only the binomial has a variance that is less than the mean. (A)<br />

Method II: Following p. 222 of KPW, compute successive values of knk<br />

/ nk<br />

− 1. They are<br />

2.67, 2.33, 2.01, 1.67, 1.32, and 1.04. This sequence is linear, indicating that a member<br />

of the (a,b,0) family is appropriate. Because it is decreasing, a binomial model is<br />

preferred.

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