Poisson probability function with mean lambda
Assume that p(y) is the Poisson Probability function with mean lambda. Show that Y bar is an efficient estimator of lambda using the Cramer-Rao inequality.
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The following fraction nonconforming control chart with n=100 is used to control a process:
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What is the effect on the P-value when a test is changed from two-tailed hypothesis with = and ≠ to one-tailed hypothesis such as ≥ and <?
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The linear programming model, What is linear programming model and GPSS simulation module solutions and need to understand it. Can you give some idea.
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