dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorBoucher, Chris
dc.date2011-05-26T19:57:18Z
dc.date2011-05-26T19:57:18Z
dc.date2011-05-26
dc.date.accessioned2017-04-05T17:07:44Z
dc.date.available2017-04-05T17:07:44Z
dc.identifierhttp://acervodigital.unesp.br/handle/123456789/5308
dc.identifierhttp://objetoseducacionais2.mec.gov.br/handle/mec/8101
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/832719
dc.descriptionRandom variable, conditional distribution, bivariate normal distribution
dc.descriptionIf X is a normal random variable and the conditional distribution of Y given X=x is (1) normal, (2) has a mean that is a linear function of x, and (3) has a variance that is constant (does not depend on x), then the pair (X,Y) follows a bivariate normal distribution. The left image is a graph of the bivariate density function and the right image shows the conditional distribution of Y when X takes the value of the x slider
dc.descriptionComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática
dc.publisherWolfram Demonstration Project
dc.relationTheBivariateNormalAndConditionalDistributions.nbp
dc.rightsDemonstration freeware using Mathematica Player
dc.subjectBivariate Normal
dc.subjectConditional Distributions
dc.subjectEducação Superior::Ciências Exatas e da Terra::Probabilidade e Estatística::Probabilidade
dc.titleThe bivariate normal and conditional distributions
dc.typeSoftware


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