{"title":"基于一次性设备试验数据的概率可靠性模型的构建","authors":"E. Chimitova","doi":"10.1109/APEIE.2014.7040821","DOIUrl":null,"url":null,"abstract":"Summary form only given. In this paper, the parametric and nonparametric approaches to construction of probabilistic reliability model with one-shot device testing data are considered. Such data are referred to as current status data, which include right censored and left censored observations (no complete observations at all). Statistical properties of maximum likelihood estimates of distribution parameters have been investigated. The algorithm for nonparametric estimation of unknown distribution function for such kind of data has been proposed.","PeriodicalId":202524,"journal":{"name":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The construction of probabilistic reliability model with one-shot device testing data\",\"authors\":\"E. Chimitova\",\"doi\":\"10.1109/APEIE.2014.7040821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. In this paper, the parametric and nonparametric approaches to construction of probabilistic reliability model with one-shot device testing data are considered. Such data are referred to as current status data, which include right censored and left censored observations (no complete observations at all). Statistical properties of maximum likelihood estimates of distribution parameters have been investigated. The algorithm for nonparametric estimation of unknown distribution function for such kind of data has been proposed.\",\"PeriodicalId\":202524,\"journal\":{\"name\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APEIE.2014.7040821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEIE.2014.7040821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The construction of probabilistic reliability model with one-shot device testing data
Summary form only given. In this paper, the parametric and nonparametric approaches to construction of probabilistic reliability model with one-shot device testing data are considered. Such data are referred to as current status data, which include right censored and left censored observations (no complete observations at all). Statistical properties of maximum likelihood estimates of distribution parameters have been investigated. The algorithm for nonparametric estimation of unknown distribution function for such kind of data has been proposed.