{"title":"Box-Cox Ristić—Balakrishnan Odd Burr III-G Family of distribution: Properties and applications","authors":"Zeena Abdul Aziz Khudhair, Muhammad Taha Ahmed","doi":"10.1109/ICCITM53167.2021.9677682","DOIUrl":null,"url":null,"abstract":"The Box Cox Rlstić-Balakrishnan Odd Burr III-G Family is a new family of distributions introduced in this paper. It can be conceived of as a natural extension of the useful RB-G family of distributions. The key tool for this generalization is the use of Box-Cox transformation. The exponential distribution was used as a sub-distribution. Some mathematical properties of the new sub-family were derived. Then, a specific member with four parameters was studied with various statistical features and viewed as a statistical model. Finally, the novel model's power of adjustment was compared to six current competitive models using real data.","PeriodicalId":406104,"journal":{"name":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th International Conference on Contemporary Information Technology and Mathematics (ICCITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITM53167.2021.9677682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Box Cox Rlstić-Balakrishnan Odd Burr III-G Family is a new family of distributions introduced in this paper. It can be conceived of as a natural extension of the useful RB-G family of distributions. The key tool for this generalization is the use of Box-Cox transformation. The exponential distribution was used as a sub-distribution. Some mathematical properties of the new sub-family were derived. Then, a specific member with four parameters was studied with various statistical features and viewed as a statistical model. Finally, the novel model's power of adjustment was compared to six current competitive models using real data.