The Poisson distribution has the probability distribution .
(a) or or or or or or or .
(b) or or or or or or or .
(c) We have to prove that or for .
We have , and taking the limit that , we have or or or or .
The reason being that for any constant c>0, as x(>0) decreases, tends to 1, and so does . The difference is that for c>0 and x>0, and it decreases to 1, while , and it increases to 1.
The worst case where lambda is zero, is where . For any , .
Further, as or and is always less than one for , meaning that for all lambda, which funrther means that the is increasing function in lambda, and never decreases as lambda increases.
Hence, we can say that for , or .
A graph for lambda even greater than 1 is as below.
a b and c please and thankyou Problem 2 Let X is a random variable with...
1. X,,x2,..., X, is a random sample from a Poisson (0) distribution with probability mass function 0*e f(x) = x=0,1,..., 0 >0. x! (1) Write Poisson (0) as an exponential family of the form fo(x) = exp{c(0)T(x)-v (0)}h(x) State what c(0), 7(x), and y (@) are. (ii) a. Prove that for the exponential family given in (i), E[T(X)]=y'(c). b. Hence find the mean of the Poisson (0) distribution. [3] [6] [2] 21 (iii) Show that for the Poisson (0) distribution,...
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Suppose that a random variable X has a (probability) density function given by 52e-2, for x > 0; f(x) = 0, otherwise, (i) Calculate the moment generating function of X. [6 marks] (ii) Calculate E(X) and E(X²). [6 marks] (iii) Calculate E(ex/2), E(ex) and E(C3x), if they exist. [3 marks] (iv) Based on an independent random sample X = {X1, X2, ..., Xn} from the dis- tribution of X, provide a consistent estimator for 0 = E(esin(\)), where sin() is...
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