首页> 美国政府科技报告 >Bayes Estimates of the Variance of a Normal Population for Prior Conjugate Distributions of Independent Parameters with Application to Estimation in Finite Populations.
【24h】

Bayes Estimates of the Variance of a Normal Population for Prior Conjugate Distributions of Independent Parameters with Application to Estimation in Finite Populations.

机译:独立参数先验共轭分布正态总体方差的Bayes估计及其在有限总体估计中的应用。

获取原文

摘要

A Bayes estimator of the variance of a normal distribution n(mu, sigma-squared), when mu is unknown, is developed for squared-error loss and conjugate priors of independent parameters. In the present study its formula is developed and its relative efficiency is compared with that of the Bayes estimator and with that of the best equivariant estimator. Application of the estimator to the estimation of the variance of a finite population is provided.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号