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选择方差最小正态总体的两阶段极小极大程序AI 解读

Given k normal populations with unknown variances and known or unknown means, suppose we wish to select N individuals in two stages as follows: in the first stage, n individuals are selected from each of the k populations; in the second stage, the remaining (N—kn) individuals are selected from the population which gave rise to the smallest variance in the first stage. This article considers a minimax method for determining how large n should be.

选择最小方差正态总体的两阶段极小极大程序AI 解读

Given k normal populations with unknown variances and known or unknown means, suppose we wish to select N individuals in two stages as follows: in the first stage, n individuals are selected from each of the k populations; in the second stage, the remaining (N—kn) individuals are selected from the population which gave rise to the smallest variance in the first stage. This article considers a minimax method for determining how large n should be.