{"title":"基于随机加权的导弹靶场试验连续试验数据先验分布","authors":"Jin Sun, Guolin Li, Cheng Xu","doi":"10.1109/ICCIS.2012.212","DOIUrl":null,"url":null,"abstract":"Aiming at the small sample of missile range trial successive test data, a random weighting method is used to get the prior distribution function of population's parameter with the known prior information under the situation that the parameters' format of general distribution is unknown. Bayesian method is adopted to determine the posterior distribution by using the prior information, population information and sample information. The illustration shows that this method can greatly improve the accuracy of statistic inference, and overcome the shortage of small sample size.","PeriodicalId":269967,"journal":{"name":"2012 Fourth International Conference on Computational and Information Sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Prior Distribution of Missile Range Trial Successive Test Data Based on Random Weighting\",\"authors\":\"Jin Sun, Guolin Li, Cheng Xu\",\"doi\":\"10.1109/ICCIS.2012.212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the small sample of missile range trial successive test data, a random weighting method is used to get the prior distribution function of population's parameter with the known prior information under the situation that the parameters' format of general distribution is unknown. Bayesian method is adopted to determine the posterior distribution by using the prior information, population information and sample information. The illustration shows that this method can greatly improve the accuracy of statistic inference, and overcome the shortage of small sample size.\",\"PeriodicalId\":269967,\"journal\":{\"name\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Computational and Information Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2012.212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Computational and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2012.212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prior Distribution of Missile Range Trial Successive Test Data Based on Random Weighting
Aiming at the small sample of missile range trial successive test data, a random weighting method is used to get the prior distribution function of population's parameter with the known prior information under the situation that the parameters' format of general distribution is unknown. Bayesian method is adopted to determine the posterior distribution by using the prior information, population information and sample information. The illustration shows that this method can greatly improve the accuracy of statistic inference, and overcome the shortage of small sample size.