Let (X) have the negative binomial distribution (f(x)=left(begin{array}{l}x-1 r-1end{array} ight) p^{r}(1-p)^{x-r}) for (x=r, r+1, ldots) (a)
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Let \(X\) have the negative binomial distribution
\(f(x)=\left(\begin{array}{l}x-1 \\ r-1\end{array}\right) p^{r}(1-p)^{x-r}\) for \(x=r, r+1, \ldots\)
(a) Obtain the maximum likelihood estimator of \(p\).
(b) For one engineering application, it is best to use components with a superior finish. Suppose \(X=\) 27 identical components are inspected, one at a time, before the \(r=3 \mathrm{rd}\) component with superior finish is found. Find the maximum likelihood estimate of the probability that a component will have a superior finish.
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Related Book For
Probability And Statistics For Engineers
ISBN: 9780134435688
9th Global Edition
Authors: Richard Johnson, Irwin Miller, John Freund
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