{"title":"包中。","authors":"Sayanti Guha Majumder","doi":"10.32388/a6gmkq","DOIUrl":null,"url":null,"abstract":"Performs a two-sample multidimensional Kolmogorov-Smirnov test as described by Fasano and Franceschini (1987). This test evaluates the null hypothesis that two i.i.d. random samples were drawn from the same underlying probability distribution. The data can be of any dimension, and can be of any type (continuous, discrete, or mixed).","PeriodicalId":22164,"journal":{"name":"Surgery, gynecology & obstetrics","volume":"151 4 1","pages":"545-6"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"199","resultStr":"{\"title\":\"Package.\",\"authors\":\"Sayanti Guha Majumder\",\"doi\":\"10.32388/a6gmkq\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performs a two-sample multidimensional Kolmogorov-Smirnov test as described by Fasano and Franceschini (1987). This test evaluates the null hypothesis that two i.i.d. random samples were drawn from the same underlying probability distribution. The data can be of any dimension, and can be of any type (continuous, discrete, or mixed).\",\"PeriodicalId\":22164,\"journal\":{\"name\":\"Surgery, gynecology & obstetrics\",\"volume\":\"151 4 1\",\"pages\":\"545-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"199\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surgery, gynecology & obstetrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32388/a6gmkq\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgery, gynecology & obstetrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32388/a6gmkq","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performs a two-sample multidimensional Kolmogorov-Smirnov test as described by Fasano and Franceschini (1987). This test evaluates the null hypothesis that two i.i.d. random samples were drawn from the same underlying probability distribution. The data can be of any dimension, and can be of any type (continuous, discrete, or mixed).
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