SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
SOLUTIONS MANUAL for Stochastic Modeling: Analysis and ...
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58 CHAPTER 6. DISCRETE-TIME PROCESSES<br />
Case 6.8<br />
S n represents accident history <strong>for</strong> years n − 1<strong>and</strong>n<br />
M = {1, 2, 3, 4} as defined in Case 6.8<br />
15. No answer provided.<br />
16. (a)<br />
π 2 =1/4 =0.25<br />
(b) No answer provided.<br />
(c) Under the binomial model with probability of γ = π 2<br />
Pr{Z 15 ≤ 1} =<br />
1∑<br />
j=0<br />
15!<br />
j!(15 − j)! πj 2(1 − π 2 ) 15−j<br />
= 0.9904 when π 2 =0.01<br />
= 0.0802 when π 2 =0.25<br />
For the Markov-chain model we have to look at all possible sample paths:<br />
• Pr{no defectives}<br />
• Pr {1 defective} has several cases:<br />
first item defective<br />
Pr{no defectives} = p 1 (p 11 p 11 ···p 11 )<br />
= π 1 p 14<br />
11 = a<br />
last item defective<br />
Pr = p 2 p 21 p 11 ···p 11 = π 2 p 21 p 13<br />
11 = b<br />
some other item defective<br />
Pr = p 1 p 11 ···p 11 p 12 = π 1 p 13<br />
11p 12 = c<br />
<strong>and</strong> there are 13 possible “other ones”<br />
Pr = p 1 p 11 p 11 ···p 12 p 21 p 11 p 11 ···p 11<br />
= π 1 p 12<br />
11 p 12p 21 = d