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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79<br />
endif<br />
C 2 ← T n+1 + FH<br />
−1 (r<strong>and</strong>om())<br />
e 3 () (end regular call)<br />
S n+1 ← 1<br />
e 4 () (end chair call)<br />
if {S n =3} then<br />
S n+1 ← 1<br />
else<br />
S n+1 ← 2<br />
endif<br />
5. (a) M = {0, 1, 2, 3} represents the number of vans in use at time t days.<br />
Approximate the time between requests <strong>and</strong> the time in use as exponentially<br />
distributed. There<strong>for</strong>e, we have a Markov-process model with<br />
(b)<br />
⎛<br />
G = ⎜<br />
⎝<br />
π = ⎜<br />
⎝<br />
− 8 8<br />
7<br />
1<br />
− 23<br />
2 14<br />
7<br />
0 0<br />
8<br />
0<br />
7<br />
8<br />
7 7<br />
0 1 − 15<br />
3<br />
0 0 − 3 2 2<br />
⎛<br />
0.1267709745<br />
0.2897622274<br />
0.3311568313<br />
0.2523099667<br />
The rate at which requests are denied is 8/7 π 3 ≈ 0.29 requests/day.<br />
(c) 0π 0 +1π 1 +2π 2 +3π 3 ≈ 1.71 vans<br />
6. (7.1) <strong>for</strong> a <strong>and</strong> n integer<br />
⎞<br />
⎟<br />
⎠<br />
⎞<br />
⎟<br />
⎠<br />
Pr{X >n+ a | X>n} =<br />
=<br />
Pr{X >n+ a, X > n}<br />
Pr{X >n}<br />
Pr{X >n+ a}<br />
Pr{X >n}<br />
=<br />
(1 − γ)n+a<br />
(1 − γ) n<br />
= (1− γ) a =Pr{X >a}