Question
Please I need all the steps and the actual results. Consider a random sample x_(1),x_(2),dots,x_(n) from a distribution with probability function: f(x,theta )=theta (1-theta )^(x)I_({0,1,2,dots})(x)
Please I need all the steps and the actual results. Consider a random sample x_(1),x_(2),dots,x_(n) from a distribution with probability function: f(x,\theta )=\theta (1-\theta )^(x)I_({0,1,2,dots})(x) By inverting the UIT or the LR test, find a 95% exact CI for \theta and (1)/(\theta ) and find an exact and asymptotic (large sample) 95% CIs for (1-\theta )/(\theta ).
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Calculus
Authors: Dale Varberg, Edwin J. Purcell, Steven E. Rigdon
9th edition
131429248, 978-0131429246
