Titlebook: Composite Sampling; A Novel Method to Ac Ganapati P. Patil,Sharad D. Gore,Charles Taillie Book 2011 Springer Science+Business Media, LLC 20

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愛(ài)花花兒憤怒

Mittelwertvergleiche und t-Tests, is clear form these derivations that the optimal composite sample size depends on the prevalence p. Since the prevalence is usually not known prior to sampling, it may not be possible to determine the optimal composite sample size. A Bayesian approach is suggested in such situations.

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Introduction,er heavy rains and floods, or about the residues of pesticides in groundwater. These and many other situations call for immediate attention from both the regulatory authority and the affected society. Both then look for solutions at a minimal effort, time and cost. It is therefore important to identify methods that achieve observational economy.

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A Bayesian Approach to the Classification Problem, is clear form these derivations that the optimal composite sample size depends on the prevalence p. Since the prevalence is usually not known prior to sampling, it may not be possible to determine the optimal composite sample size. A Bayesian approach is suggested in such situations.

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