{"title":"双变量累积Tsallis过去熵:性质和应用","authors":"David Chris Raju, S. Sunoj, G. Rajesh","doi":"10.1080/01966324.2022.2163210","DOIUrl":null,"url":null,"abstract":"Abstract In the present study, we extend the cumulative Tsallis entropy in the past life to its bivariate case. We can use the proposed measure for determining the uncertainty associated with two-component systems in the past lifetime. Some important properties of these measures are studied along with the characterization results of some essential bivariate lifetime models. We also examine specific applications of the vector-valued measure based on the non-parametric methods of estimation and illustrated their performances using simulated and real data sets.","PeriodicalId":35850,"journal":{"name":"American Journal of Mathematical and Management Sciences","volume":"42 1","pages":"30 - 50"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bivariate Cumulative Tsallis Past Entropy: Properties and Applications\",\"authors\":\"David Chris Raju, S. Sunoj, G. Rajesh\",\"doi\":\"10.1080/01966324.2022.2163210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In the present study, we extend the cumulative Tsallis entropy in the past life to its bivariate case. We can use the proposed measure for determining the uncertainty associated with two-component systems in the past lifetime. Some important properties of these measures are studied along with the characterization results of some essential bivariate lifetime models. We also examine specific applications of the vector-valued measure based on the non-parametric methods of estimation and illustrated their performances using simulated and real data sets.\",\"PeriodicalId\":35850,\"journal\":{\"name\":\"American Journal of Mathematical and Management Sciences\",\"volume\":\"42 1\",\"pages\":\"30 - 50\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Mathematical and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/01966324.2022.2163210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Mathematical and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01966324.2022.2163210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
Bivariate Cumulative Tsallis Past Entropy: Properties and Applications
Abstract In the present study, we extend the cumulative Tsallis entropy in the past life to its bivariate case. We can use the proposed measure for determining the uncertainty associated with two-component systems in the past lifetime. Some important properties of these measures are studied along with the characterization results of some essential bivariate lifetime models. We also examine specific applications of the vector-valued measure based on the non-parametric methods of estimation and illustrated their performances using simulated and real data sets.