{"title":"Comparison and equality of generalized \\(\\psi \\)-estimators","authors":"Mátyás Barczy, Zsolt Páles","doi":"10.1007/s10463-024-00916-7","DOIUrl":null,"url":null,"abstract":"<div><p>We solve the comparison problem for generalized <span>\\(\\psi \\)</span>-estimators introduced by Barczy and Páles (<i>arXiv</i>: 2211.06026, 2022). Namely, we derive several necessary and sufficient conditions under which a generalized <span>\\(\\psi \\)</span>-estimator less than or equal to another <span>\\(\\psi \\)</span>-estimator for any sample. We also solve the corresponding equality problem for generalized <span>\\(\\psi \\)</span>-estimators. We also apply our results for some known statistical estimators such as for empirical expectiles and Mathieu-type estimators and for solutions of likelihood equations in case of normal, a Beta-type, Gamma, Lomax (Pareto type II), lognormal and Laplace distributions.</p></div>","PeriodicalId":55511,"journal":{"name":"Annals of the Institute of Statistical Mathematics","volume":"77 2","pages":"217 - 250"},"PeriodicalIF":0.8000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the Institute of Statistical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s10463-024-00916-7","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
We solve the comparison problem for generalized \(\psi \)-estimators introduced by Barczy and Páles (arXiv: 2211.06026, 2022). Namely, we derive several necessary and sufficient conditions under which a generalized \(\psi \)-estimator less than or equal to another \(\psi \)-estimator for any sample. We also solve the corresponding equality problem for generalized \(\psi \)-estimators. We also apply our results for some known statistical estimators such as for empirical expectiles and Mathieu-type estimators and for solutions of likelihood equations in case of normal, a Beta-type, Gamma, Lomax (Pareto type II), lognormal and Laplace distributions.
期刊介绍:
Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties. It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science. Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories.