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Find the maximum likelihood estimators (MLE's) based on a random sample X1,.....,Xn from each of the following distributions: a) Xi~BIN(1,p) b) Xi~GEO(p) c) Xi~NB(3,p) d)

Find the maximum likelihood estimators (MLE's) based on a random sample X1,.....,Xn from each of the following distributions:

a) Xi~BIN(1,p)

b) Xi~GEO(p)

c) Xi~NB(3,p)

d) Xi~N(0,?)

e) Xi~GAM(?,2)

f) Xi~DE(?,0)

g) Xi~WEI(?,1/2)

h) Xi~PAR(1,k)

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a here n1 so Binomial distribution is Bernaulli distribution The CramerRao inequality States that if there exist an estimator that achieves this lower bound then it is the most efficient estimator for ... blur-text-image

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