2. Let X be a Poisson random variable with parameter > 0, probability function 1e-A x!...
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2. Let X be a Poisson random variable with parameter > 0, probability function 1²e-A x! and moment generating function M(t) = (²-1) (a) Noting the Taylor Series approximation f(x) = e" =1+v+ x = 0, 1, 2,... 23 + 21 3! show that f(r) is a valid probability function. (b) Evaluate E(X) from first principles. (Hint: note a! in the denominator of f(x), and follow the same approach as for the binomial random variable.] (c) Confirm the mean using the moment generating function of X. 2. Let X be a Poisson random variable with parameter > 0, probability function 1²e-A x! and moment generating function M(t) = (²-1) (a) Noting the Taylor Series approximation f(x) = e" =1+v+ x = 0, 1, 2,... 23 + 21 3! show that f(r) is a valid probability function. (b) Evaluate E(X) from first principles. (Hint: note a! in the denominator of f(x), and follow the same approach as for the binomial random variable.] (c) Confirm the mean using the moment generating function of X.
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Related Book For
Fundamentals of Momentum, Heat and Mass Transfer
ISBN: 978-1118947463
6th edition
Authors: James Welty, Gregory L. Rorrer, David G. Foster
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