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  • 标题:SHRINKAGE TESTIMATORS OF SCALE PARAMETER FOR EXPO-NENTIAL MODEL UNDER ASYMMETRIC LOSS FUNCTION
  • 本地全文:下载
  • 作者:Rakesh Srivastava ; Tejal Shah
  • 期刊名称:Journal of Reliability and Statistical Studies
  • 印刷版ISSN:0974-8024
  • 电子版ISSN:2229-5666
  • 出版年度:2010
  • 卷号:3
  • 期号:2
  • 页码:11-25
  • 出版社:Ankur Printing Palace
  • 摘要:The present paper proposes shrinkage testimator(s) for the scale parameter for anexponential distribution. An important feature of the proposed testimator is that, it removes thearbitrariness in the choice of shrinkage factor (weights) by making it dependent on the teststatistic. The risk properties of the proposed testimator(s) have been studied under asymmetricloss function. It has been observed that the proposed testimator performs better than the classicalUniformly Minimum Variance Unbiased Estimator (UMVUE). Recommendations regarding itsapplications for various degrees of asymmetry (over/under estimator), level(s) of significancehave been made
  • 关键词:Exponential distribution; scale parameter; preliminary test; level of significance;asymmetric loss function; relative risk
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