{"title":"Asymptotic properties of goodness of fit tests based on higher order overlapping spacings","authors":"Sherzod M. Mirakhmedov","doi":"10.1016/j.spl.2025.110461","DOIUrl":null,"url":null,"abstract":"<div><div>The paper is devoted to tests for uniformity based on sum-functions of overlapping spacings, where the order of spacings can diverge to infinity as the sample size increases. In particular, it is shown that the asymptotic local power and Pitman asymptotic relative efficiencies of these tests depend significantly on the asymptotic properties of the counterpart statistics based on disjoint spacings. The general results are applied to a family of tests based on power divergence statistics.</div></div>","PeriodicalId":49475,"journal":{"name":"Statistics & Probability Letters","volume":"225 ","pages":"Article 110461"},"PeriodicalIF":0.9000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics & Probability Letters","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167715225001063","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
The paper is devoted to tests for uniformity based on sum-functions of overlapping spacings, where the order of spacings can diverge to infinity as the sample size increases. In particular, it is shown that the asymptotic local power and Pitman asymptotic relative efficiencies of these tests depend significantly on the asymptotic properties of the counterpart statistics based on disjoint spacings. The general results are applied to a family of tests based on power divergence statistics.
期刊介绍:
Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.
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