dc.contributor | Universidade Estadual Paulista (UNESP) | |
dc.creator | Boucher, Chris | |
dc.date | 2016-10-26T17:52:23Z | |
dc.date | 2016-10-26T17:52:23Z | |
dc.date.accessioned | 2017-04-06T11:56:06Z | |
dc.date.available | 2017-04-06T11:56:06Z | |
dc.identifier | http://acervodigital.unesp.br/handle/unesp/363063 | |
dc.identifier | http://objetoseducacionais2.mec.gov.br/handle/mec/8101 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/959345 | |
dc.description | Random variable, conditional distribution, bivariate normal distribution | |
dc.description | If 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.description | Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática | |
dc.publisher | Wolfram Demonstration Project | |
dc.relation | TheBivariateNormalAndConditionalDistributions.nbp | |
dc.rights | Demonstration freeware using Mathematica Player | |
dc.subject | Bivariate Normal | |
dc.subject | Conditional Distributions | |
dc.subject | Educação Superior::Ciências Exatas e da Terra::Probabilidade e Estatística::Probabilidade | |
dc.title | The bivariate normal and conditional distributions | |
dc.type | Otro | |