{"title":"正态分布的特征","authors":"M. Ahsanullah, B. M. Kibria, M. Shakil","doi":"10.2991/978-94-6239-061-4_8","DOIUrl":null,"url":null,"abstract":"Before a particular probability distribution model is applied to fit the real world data, it is necessary to confirm whether the given probability distribution satisfies the underlying requirements by its characterization.","PeriodicalId":57248,"journal":{"name":"应用概率统计","volume":"1 1","pages":"113-127"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterizations of Normal Distribution\",\"authors\":\"M. Ahsanullah, B. M. Kibria, M. Shakil\",\"doi\":\"10.2991/978-94-6239-061-4_8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Before a particular probability distribution model is applied to fit the real world data, it is necessary to confirm whether the given probability distribution satisfies the underlying requirements by its characterization.\",\"PeriodicalId\":57248,\"journal\":{\"name\":\"应用概率统计\",\"volume\":\"1 1\",\"pages\":\"113-127\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"应用概率统计\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.2991/978-94-6239-061-4_8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"应用概率统计","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.2991/978-94-6239-061-4_8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Before a particular probability distribution model is applied to fit the real world data, it is necessary to confirm whether the given probability distribution satisfies the underlying requirements by its characterization.
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