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文章基本信息

  • 标题:Improved Exponential Type Estimators for Finite Population Mean in Stratified Random Sampling
  • 本地全文:下载
  • 作者:Nursel Koyuncu
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2016
  • 卷号:12
  • 期号:3
  • 页码:429-441
  • DOI:10.18187/pjsor.v12i3.1172
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this paper new exponential type estimators are suggested for estimating the population mean in stratified random sampling. The biases and mean square errors of the suggested estimators are obtained. Also an empirical study is carried out to show the properties of the proposed estimators.
  • 其他摘要:In this paper new exponential type estimators are suggested for estimating the population mean in stratified random sampling. The biases and mean square errors of the suggested estimators are obtained. Also an empirical study is carried out to show the properties of the proposed estimators.
  • 关键词:Ratio estimator;Exponential estimator;Mean square error;Efficiency;Stratified random sampling.
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