{"title":"The empirical Bayes estimators of the rate parameter of the gamma distribution with a conjugate gamma prior under Stein’s loss function","authors":"Ya-Guang Shi, Ying-Ying Zhang, Zheng Li","doi":"10.1080/03610918.2024.2369811","DOIUrl":null,"url":null,"abstract":"For the hierarchical gamma and gamma model, we calculate the Bayes estimator of the rate parameter of the gamma distribution under Stein’s loss function which penalizes gross overestimation and gro...","PeriodicalId":55240,"journal":{"name":"Communications in Statistics-Simulation and Computation","volume":"3 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Statistics-Simulation and Computation","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610918.2024.2369811","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
For the hierarchical gamma and gamma model, we calculate the Bayes estimator of the rate parameter of the gamma distribution under Stein’s loss function which penalizes gross overestimation and gro...
期刊介绍:
The Simulation and Computation series intends to publish papers that make theoretical and methodological advances relating to computational aspects of Probability and Statistics. Simulational assessment and comparison of the performance of statistical and probabilistic methods will also be considered for publication. Papers stressing graphical methods, resampling and other computationally intensive methods will be particularly relevant. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.