MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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2. The negative binomial distribution has probability mass function (pmf),
ƒ (y; r,p) = (³ + r − 1 ) (1 − p)'p', y=0,1,2,..., r>0,p>0.
f(
Assume that r is known.
У
-
(a) Show that the pmf of the negative binomial has exponential family form,
exp{[y b(0)]/a(o) + c(y,o)}, stating the canonical parameter 0, dispersion
parameter and the functions b(0), a(o) and c(y, o).
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Transcribed Image Text:2. The negative binomial distribution has probability mass function (pmf), ƒ (y; r,p) = (³ + r − 1 ) (1 − p)'p', y=0,1,2,..., r>0,p>0. f( Assume that r is known. У - (a) Show that the pmf of the negative binomial has exponential family form, exp{[y b(0)]/a(o) + c(y,o)}, stating the canonical parameter 0, dispersion parameter and the functions b(0), a(o) and c(y, o).
(b) Find the mean and variance of the negative binomial distribution in terms of
r and p by using the functions b(0) and a(Ø). Hence, explain how the negative
binomial distribution can be used to handle overdispersion that is not captured
by the Poisson distribution.
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Transcribed Image Text:(b) Find the mean and variance of the negative binomial distribution in terms of r and p by using the functions b(0) and a(Ø). Hence, explain how the negative binomial distribution can be used to handle overdispersion that is not captured by the Poisson distribution.
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