{"title":"区分奇数 Weibull-G 分布家族成员的测试。","authors":"Boikanyo Makubate","doi":"10.1155/2024/9423417","DOIUrl":null,"url":null,"abstract":"<p><p>The Odd Weibull-G (OWG) family of distributions has been discussed earlier in the literature. This family of distributions provides a \"better fit\" in certain practical situations. In a similar fashion, the OWG family of distributions is defined in this article. A method of moments estimator based on the maximum entropy principle is proposed for the discrimination of two members of the OWG family of distributions.</p>","PeriodicalId":22985,"journal":{"name":"The Scientific World Journal","volume":"2024 ","pages":"9423417"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557169/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Test for Discriminating Between Members of the Odd Weibull-G Family of Distributions.\",\"authors\":\"Boikanyo Makubate\",\"doi\":\"10.1155/2024/9423417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Odd Weibull-G (OWG) family of distributions has been discussed earlier in the literature. This family of distributions provides a \\\"better fit\\\" in certain practical situations. In a similar fashion, the OWG family of distributions is defined in this article. A method of moments estimator based on the maximum entropy principle is proposed for the discrimination of two members of the OWG family of distributions.</p>\",\"PeriodicalId\":22985,\"journal\":{\"name\":\"The Scientific World Journal\",\"volume\":\"2024 \",\"pages\":\"9423417\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557169/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Scientific World Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1155/2024/9423417\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Scientific World Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2024/9423417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
A Test for Discriminating Between Members of the Odd Weibull-G Family of Distributions.
The Odd Weibull-G (OWG) family of distributions has been discussed earlier in the literature. This family of distributions provides a "better fit" in certain practical situations. In a similar fashion, the OWG family of distributions is defined in this article. A method of moments estimator based on the maximum entropy principle is proposed for the discrimination of two members of the OWG family of distributions.
期刊介绍：
The Scientific World Journal is a peer-reviewed, Open Access journal that publishes original research, reviews, and clinical studies covering a wide range of subjects in science, technology, and medicine. The journal is divided into 81 subject areas.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
