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  • 标题:New linear model for optimal cluster size in cluster sampling
  • 本地全文:下载
  • 作者:Alok Kumar Shukla ; Subhash Kumar Yadav
  • 期刊名称:Statistics in Transition
  • 印刷版ISSN:1234-7655
  • 电子版ISSN:2450-0291
  • 出版年度:2020
  • 卷号:21
  • 期号:2
  • 页码:189-200
  • DOI:10.21307/stattrans-2020-020
  • 出版社:Exeley Inc.
  • 摘要:In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for the determination of optimum cluster size leads to explicit solution of models.
  • 关键词:Non-linear models; optimum cluster size; four-parameter model; variance function
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