Minimax Estimator on Binomial Distribution

Zul . Amry, Sisti Nadia Amalia
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Abstract

This paper discusses the minimax estimator of parameter for binomial distribution. The likelihood function is constructed based on the probability function of the Binomial distribution. The posterior distribution is obtained from the joint of the likelihood function and prior distribution. Furthermore, the Bayes estimator is obtained based on the posterior mean and provide the constancy of the risk of Bayes the minimax estimator can be concluded.
二项分布的极大极小估计
讨论了二项分布参数的极大极小估计。似然函数是基于二项分布的概率函数构造的。后验分布由似然函数和先验分布联合得到。进一步,基于后验均值得到了贝叶斯估计量,并给出了贝叶斯风险的恒常性,得到了极大极小估计量。
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