{"title":"通过线积分和联合人寿保险应用生成的概率模型","authors":"Nikolai Kolev","doi":"10.5540/03.2023.010.01.0084","DOIUrl":null,"url":null,"abstract":". We construct via line integral and characterize a class of bivariate continuous distributions with a multiplicative representation of the sum of hazard gradient components. The corresponding joint survival function is a solution of functional equation allowing to generate new members of the class. We apply a particular member to (cid:28)t a big Canadian joint life insurance data set improving the inference and conclusions made by of another authors.","PeriodicalId":274912,"journal":{"name":"Proceeding Series of the Brazilian Society of Computational and Applied Mathematics","volume":"33 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probability Models Generated via Line Integral and Joint Life Insurance Application\",\"authors\":\"Nikolai Kolev\",\"doi\":\"10.5540/03.2023.010.01.0084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". We construct via line integral and characterize a class of bivariate continuous distributions with a multiplicative representation of the sum of hazard gradient components. The corresponding joint survival function is a solution of functional equation allowing to generate new members of the class. We apply a particular member to (cid:28)t a big Canadian joint life insurance data set improving the inference and conclusions made by of another authors.\",\"PeriodicalId\":274912,\"journal\":{\"name\":\"Proceeding Series of the Brazilian Society of Computational and Applied Mathematics\",\"volume\":\"33 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding Series of the Brazilian Society of Computational and Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5540/03.2023.010.01.0084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding Series of the Brazilian Society of Computational and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5540/03.2023.010.01.0084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probability Models Generated via Line Integral and Joint Life Insurance Application
. We construct via line integral and characterize a class of bivariate continuous distributions with a multiplicative representation of the sum of hazard gradient components. The corresponding joint survival function is a solution of functional equation allowing to generate new members of the class. We apply a particular member to (cid:28)t a big Canadian joint life insurance data set improving the inference and conclusions made by of another authors.