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BookOpen AccessTerbit 2018Versi 1

On the Selection of Best Gamma Population

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Abstrak

Selecting the best Gamma population from a given set of Gamma populations is treated from a decision theoretic point of view. Cost of sampling and penalties for wrong decision play a role in the determination of optimum common sample sizes. Minimax sample sizes are determined under two different penalty functions. (Author).

Kata kunci

Mathematical statistics

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Versi dan riwayat publik

  1. Versi 1On the Selection of Best Gamma Population2018 · oai:ais:library-item:91128

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