{"title":"N","authors":"A. V. Lapko, V. A. Lapko, E. A. Yuronen","doi":"10.2307/j.ctvx077ht.17","DOIUrl":null,"url":null,"abstract":"Algorithmic approach of hypothesis testing of identity of distribution laws of random values is offered. Its basis is made by technique of creation of confidence borders for a probability density.","PeriodicalId":425100,"journal":{"name":"The Herodotus Encyclopedia","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"N\",\"authors\":\"A. V. Lapko, V. A. Lapko, E. A. Yuronen\",\"doi\":\"10.2307/j.ctvx077ht.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithmic approach of hypothesis testing of identity of distribution laws of random values is offered. Its basis is made by technique of creation of confidence borders for a probability density.\",\"PeriodicalId\":425100,\"journal\":{\"name\":\"The Herodotus Encyclopedia\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Herodotus Encyclopedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2307/j.ctvx077ht.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Herodotus Encyclopedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/j.ctvx077ht.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithmic approach of hypothesis testing of identity of distribution laws of random values is offered. Its basis is made by technique of creation of confidence borders for a probability density.