In: Math
Let X1, X2, . . . be a sequence of independent and identically distributed random variables where the distribution is given by the so-called zero-truncated Poisson distribution with probability mass function; P(X = x) = λx/ (x!(eλ − 1)), x = 1, 2, 3...
Let N ∼ Binomial(n, 1−e^−λ ) be another random variable that is independent of the Xi ’s.
1) Show that Y = X1 +X2 + ... + XN has a Poisson distribution with mean nλ.
Let X1, X2, . . .XN be a sequence of independent and identically distributed random variables where the distribution is given by the so-called zero-truncated Poisson distribution with probability mass function
Let N ∼ Binomial(n, 1−e^−λ ) be another random variable that is independent of the Xi ’s. The probability mass function is
1) Show that Y = X1 +X2 + ... + XN has a Poisson distribution with mean nλ. Using the moment generating function(mgf), we found out the distribution of Y. Using the compound distribution function, If the primary distribution N has mgf MN(t) and the secondary distribution X has mgf MX(t), then the mgf of Y is
In terms of probability generating function(pgf), it is define as
So, we use pgf to get the distribution.
pgf of zero-truncated Poisson distribution is
pgf of binomial distribution is
Then, using the define equation
This is the probability generating function of Poisson distribution with mean nλ.