{"title":"一个基于FORTRAN的计算机程序，用于对经验数据进行理论概率分布的拟合优度检验","authors":"Sue D. Guthrie","doi":"10.1145/503506.503542","DOIUrl":null,"url":null,"abstract":"Data gathering in an attempt to gain knowledge about a particular phenomenon is a key element in the work of scientists and engineers. It is a first step in the mathematical modeling or simulation of any real-world system under study. A researcher can choose to model his system with empirical data or with a theoretical probability distribution which best describes his observed data. The latter method is usually preferable.","PeriodicalId":258426,"journal":{"name":"ACM-SE 17","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1979-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A FORTRAN based computer program to perform goodness of fit testing of empirical data to theoretical probability distributions\",\"authors\":\"Sue D. Guthrie\",\"doi\":\"10.1145/503506.503542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data gathering in an attempt to gain knowledge about a particular phenomenon is a key element in the work of scientists and engineers. It is a first step in the mathematical modeling or simulation of any real-world system under study. A researcher can choose to model his system with empirical data or with a theoretical probability distribution which best describes his observed data. The latter method is usually preferable.\",\"PeriodicalId\":258426,\"journal\":{\"name\":\"ACM-SE 17\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1979-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 17\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/503506.503542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 17","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/503506.503542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A FORTRAN based computer program to perform goodness of fit testing of empirical data to theoretical probability distributions
Data gathering in an attempt to gain knowledge about a particular phenomenon is a key element in the work of scientists and engineers. It is a first step in the mathematical modeling or simulation of any real-world system under study. A researcher can choose to model his system with empirical data or with a theoretical probability distribution which best describes his observed data. The latter method is usually preferable.
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