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Generalized linear model (view source)
Revision as of 07:13, August 17, 2011
, 07:13, August 17, 2011The definition of "generalized" appears further down on statsoft.
In this [[equation]] b<sub>0</sub> is the [[regression analysis|regression]] [[coefficient]] for the intercept and the b<sub>i</sub> values are the regression coefficients (for variables 1 through k) computed from the [[data]]."<ref>[http://www.statsoft.com/textbook/generalized-linear-models/ Generalized Linear Models]</ref>
In this [[equation]] b<sub>0</sub> is the [[regression analysis|regression]] [[coefficient]] for the intercept and the b<sub>i</sub> values are the regression coefficients (for variables 1 through k) computed from the [[data]]."<ref>[http://www.statsoft.com/textbook/generalized-linear-models/ Generalized Linear Models]</ref>
Whereas in classical linear models the variable Y is assumed to follow a normal distribution, generalized linear models consider more general distributions, such as a Poisson or a multinomial distribution, and are therefore applicable to a wider field of problems.
== See also ==
== See also ==