Caner Tanış, Buğra Saraçoğlu, Coşkun Kuş, A. Pekgor, K. Karakaya
{"title":"Transmuted Lower Record Type Fréchet Distribution with Lifetime Regression Analysis Based on Type I-Censored Data","authors":"Caner Tanış, Buğra Saraçoğlu, Coşkun Kuş, A. Pekgor, K. Karakaya","doi":"10.2991/JSTA.D.210115.001","DOIUrl":null,"url":null,"abstract":"This paper introduces a new lifetime distribution bymixing the first two lower record values and various distributional properties are examined. Statistical inference on distribution parameters are discussedwith five estimators. AMonte Carlo simulation study is carried out to evaluate the risk behavior of these estimators for different sample of sizes. The distribution modeling analysis is provided based on real data to demonstrate the fitting ability of the proposed model. In addition, a lifetime regression model is described by re-parameterization on the log lifetimes. The superiority of proposed regression model is revealed in well-known models.","PeriodicalId":45080,"journal":{"name":"Journal of Statistical Theory and Applications","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/JSTA.D.210115.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 11
Abstract
This paper introduces a new lifetime distribution bymixing the first two lower record values and various distributional properties are examined. Statistical inference on distribution parameters are discussedwith five estimators. AMonte Carlo simulation study is carried out to evaluate the risk behavior of these estimators for different sample of sizes. The distribution modeling analysis is provided based on real data to demonstrate the fitting ability of the proposed model. In addition, a lifetime regression model is described by re-parameterization on the log lifetimes. The superiority of proposed regression model is revealed in well-known models.