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Generalized linear model (view source)
Revision as of 02:21, February 2, 2011
, 02:21, February 2, 2011Created page with "The website statsoft.com offers this explanation of the '''generalized linear model''': "The Generalized Linear Model (GLZ) is a generalization of the general linear model (see,..."
The website statsoft.com offers this explanation of the '''generalized linear model''':
"The Generalized Linear Model (GLZ) is a generalization of the general linear model (see, e.g., the General Linear Models, [[Multiple Regression]], and [[Analysis of variance|ANOVA]]/[[Multivariate Analysis of Variance|MANOVA]] topics). In its simplest form, a [[linear model]] specifies the (linear) relationship between a dependent (or response) [[variable]] Y, and a set of predictor variables, the X's, so that
Y = b0 + b1X1 + b2X2 + ... + bkXk
In this [[equation]] b0 is the [[regression analysis|regression]] [[coefficient]] for the intercept and the bi values are the regression coefficients (for variables 1 through k) computed from the [[data]]."<ref>http://www.statsoft.com/textbook/generalized-linear-models/</ref>
== See also ==
*[[Statistics]]
== Notes ==
{{reflist|2}}
[[Category: Statistics]]
"The Generalized Linear Model (GLZ) is a generalization of the general linear model (see, e.g., the General Linear Models, [[Multiple Regression]], and [[Analysis of variance|ANOVA]]/[[Multivariate Analysis of Variance|MANOVA]] topics). In its simplest form, a [[linear model]] specifies the (linear) relationship between a dependent (or response) [[variable]] Y, and a set of predictor variables, the X's, so that
Y = b0 + b1X1 + b2X2 + ... + bkXk
In this [[equation]] b0 is the [[regression analysis|regression]] [[coefficient]] for the intercept and the bi values are the regression coefficients (for variables 1 through k) computed from the [[data]]."<ref>http://www.statsoft.com/textbook/generalized-linear-models/</ref>
== See also ==
*[[Statistics]]
== Notes ==
{{reflist|2}}
[[Category: Statistics]]