{"title":"指数广义分布类","authors":"G. Cordeiro, E. Ortega, Daniel C. C. da Cunha","doi":"10.6339/JDS.2013.11(1).1086","DOIUrl":null,"url":null,"abstract":"We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.","PeriodicalId":73699,"journal":{"name":"Journal of data science : JDS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"263","resultStr":"{\"title\":\"The Exponentiated Generalized Class of Distributions\",\"authors\":\"G. Cordeiro, E. Ortega, Daniel C. C. da Cunha\",\"doi\":\"10.6339/JDS.2013.11(1).1086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.\",\"PeriodicalId\":73699,\"journal\":{\"name\":\"Journal of data science : JDS\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"263\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of data science : JDS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.6339/JDS.2013.11(1).1086\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of data science : JDS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6339/JDS.2013.11(1).1086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Exponentiated Generalized Class of Distributions
We propose a new method of adding two parameters to a contin- uous distribution that extends the idea rst introduced by Lehmann (1953) and studied by Nadarajah and Kotz (2006). This method leads to a new class of exponentiated generalized distributions that can be interpreted as a double construction of Lehmann alternatives. Some special models are dis- cussed. We derive some mathematical properties of this class including the ordinary moments, generating function, mean deviations and order statis- tics. Maximum likelihood estimation is investigated and four applications to real data are presented.