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SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...

SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...

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15<br />

(d)<br />

E[X] = ∑ all a<br />

ap X (a) =0(1− γ)+1(γ)<br />

= γ<br />

(e)<br />

E[X] = ∑ ∞∑<br />

ap X (a) = aγ(1 − γ) a−1<br />

all a a=1<br />

=<br />

∞∑<br />

γ a(1 − γ) a−1 (let q =1− γ)<br />

a=1<br />

= γ<br />

∞∑<br />

a=1<br />

d<br />

dq qa<br />

= γ d ∞∑<br />

q a = γ d dq<br />

a=1<br />

dq<br />

= γ d dq<br />

( ) 1<br />

=<br />

1 − q<br />

∞∑<br />

a=0<br />

q a<br />

(since d dq q0 =0)<br />

γ<br />

(1 − q) = γ<br />

2 (γ) = 1 2 γ<br />

20. From Exercise 25, Var[X] =E[X 2 ]−(E[X]) 2 .SoifwecalculateE[X 2 ], we can combine<br />

it with the answers in Exercise 19.<br />

(a)<br />

E[X 2 ] =<br />

∫ ( β a<br />

2<br />

α<br />

β − α<br />

= β3 − α 3<br />

3(β − α)<br />

)<br />

da =<br />

a 3<br />

3(β − α) ∣<br />

β<br />

α<br />

There<strong>for</strong>e,<br />

Var[X] = β3 − α 3 ( ) 2<br />

β + α<br />

3(β − α) − 2<br />

= β3 − α 3 (β + α)2<br />

−<br />

3(β − α) 4

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