Suppose we are interested in estimating the proportion p of a population that has a certain disease. As in Section 2.3 let y;-1 if person i has the disease, and yi 0 if person i does not have the dis...
Suppose we are interested in estimating the proportion p of a population that has a certain disease. As in Section 2.3 let y;-1 if person i has the disease, and yi 0 if person i does not have the disease. Then p . a Show, using the definition in (2.13), that 22 N- np If the population is large and the sampling fraction is small, so that write (2.26) in terms of the CV for a sample of size 1....
1. Suppose Yi,½, , Yn is an iid sample from a Bernoulli(p) population distribution, where 0< p<1 is unknown. The population pmf is py(ulp) otherwise 0, (a) Prove that Y is the maximum likelihood estimator of p. (b) Find the maximum likelihood estimator of T(p)-loglp/(1 - p)], the log-odds of p. 1. Suppose Yi,½, , Yn is an iid sample from a Bernoulli(p) population distribution, where 0