首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Ordered designs and Bayesian inference in survey sampling
  • 作者:Glen Meeden ; Siamak Noorbaloochi
  • 期刊名称:Sankhya. Series A, mathematical statistics and probability
  • 印刷版ISSN:0976-836X
  • 电子版ISSN:0976-8378
  • 出版年度:2010
  • 卷号:72
  • 期号:1
  • 页码:119-135
  • DOI:10.1007/s13171-010-0003-8
  • 语种:English
  • 出版社:Indian Statistical Institute
  • 摘要:Many sampling designs, such as simple random sampling without replacement, can in principle be extended in a natural way so that the units continue to be selected until the population is exhausted. These designs impose a random order on the population. Here we show how such ordered designs can be used to define prior distributions over the population. For such priors the Bayesian analysis uses information that in standard frequentist methods is incorporated in the sampling design. The resulting methods will often have good frequentist properties.
  • 关键词:Finite population sampling ; sampling designs Polya posterior and noninformative Bayesian
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有