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Selecting the best population: A decision theoretic approach: The case of Pareto distribution (1985)
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Dailami, N., Subramanyam, K., & Rao, M. B. (1985). Selecting the best population: A decision theoretic approach: The case of Pareto distribution

The main ideas in selecting the best populations meeting some prescribed optimality criterion have been mooted originally by Bechchofer and Gupta and the subject has gone from strength to strength by several contributions by several statisticians ove... Read More about Selecting the best population: A decision theoretic approach: The case of Pareto distribution.

On the selection of the best gamma population. Determination of minimax sample sizes
Report
Dailami, N., Rao, M. B., & Subramanyam, K. On the selection of the best gamma population. Determination of minimax sample sizes

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 s... Read More about On the selection of the best gamma population. Determination of minimax sample sizes.