{"title":"Transformations of Two Random Variables","authors":"","doi":"10.1142/9789813202054_0013","DOIUrl":null,"url":null,"abstract":"Problem : (X,Y ) is a bivariate rv. Find the distribution of Z = g(X,Y ). • The very 1st step: specify the support of Z. • X,Y are discrete – straightforward; see Example 0(a)(b) from Transformation of Several Random Variables.pdf. • X,Y are continuous – The CDF approach (the basic, off-the-shelf method) – Special formula (convolution) for Z = X + Y – MGF approach for sums of multiple independent rvs.","PeriodicalId":274238,"journal":{"name":"Probability Models and Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Probability Models and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/9789813202054_0013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Problem : (X,Y ) is a bivariate rv. Find the distribution of Z = g(X,Y ). • The very 1st step: specify the support of Z. • X,Y are discrete – straightforward; see Example 0(a)(b) from Transformation of Several Random Variables.pdf. • X,Y are continuous – The CDF approach (the basic, off-the-shelf method) – Special formula (convolution) for Z = X + Y – MGF approach for sums of multiple independent rvs.