Fundamentals of Probability and Statistics for Engineers

(John Hannent) #1

6.32 Suppose that , the mean rate of arrival, in the Poisson distribution is time-
dependent and is given by


Determine pmf the probability of exactly k arrivals in the time interval
[0,t). [Note that differential equations such as Equations (6.39) and (6.42) now
have time-dependent coefficients.]

6.33 Derive the jpmf of two Poisson random variables X 1 and X 2 , where X 1 X(0, t 1 ),
and with the same mean rate of arrival. Determine prob-
ability This is the probability that the numbers of arrivals
in intervals [0, t 1 )and[0,t 2 ) are both equal to or less than the average arrivals in
their respective intervals.


Some Important Discrete Distributions 189





vtv^1
w
:

pk(0,t),

ˆ
X X(0,t 2 ),t 2 >t 1 , 
P(X 1 t 1 \X 2 t 2 ).

2 ˆ
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