{"title":"在重删和弱删数据情况下确定风险均值的后验均值法","authors":"Ahmed Hamimes, Rachid Benamirouche","doi":"10.54241/2065-003-002-001","DOIUrl":null,"url":null,"abstract":"In this paper, Kaplan Meier's model is used in the survival analysis and according to a Bayesian conception of the context to calculate the mean value of the risk in the case of data of durations strongly and weakly censored through the approach of the posterior mean. This method makes it possible to probabilize the mean value of the risk of chance and to make comparisons in the same way.","PeriodicalId":260243,"journal":{"name":"المجلة الدولية للأداء الاقتصادي","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Posterior Mean Approach To Determine The Mean Value Of Risk In The Case Of Heavily And Weakly Censored Data\",\"authors\":\"Ahmed Hamimes, Rachid Benamirouche\",\"doi\":\"10.54241/2065-003-002-001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, Kaplan Meier's model is used in the survival analysis and according to a Bayesian conception of the context to calculate the mean value of the risk in the case of data of durations strongly and weakly censored through the approach of the posterior mean. This method makes it possible to probabilize the mean value of the risk of chance and to make comparisons in the same way.\",\"PeriodicalId\":260243,\"journal\":{\"name\":\"المجلة الدولية للأداء الاقتصادي\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"المجلة الدولية للأداء الاقتصادي\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54241/2065-003-002-001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"المجلة الدولية للأداء الاقتصادي","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54241/2065-003-002-001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Posterior Mean Approach To Determine The Mean Value Of Risk In The Case Of Heavily And Weakly Censored Data
In this paper, Kaplan Meier's model is used in the survival analysis and according to a Bayesian conception of the context to calculate the mean value of the risk in the case of data of durations strongly and weakly censored through the approach of the posterior mean. This method makes it possible to probabilize the mean value of the risk of chance and to make comparisons in the same way.
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