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java.lang.Objectcom.numericalmethod.suanshu.stats.regression.linear.glm.quasi.GeneralizedLinearModelQuasiFamily
public class GeneralizedLinearModelQuasiFamily
GLM for the quasi-families.
In order to construct a likelihood function it is usually necessary to posit a probabilistic mechanism specifying, for a range of parameter values, the probabilities of all relevant samples that might possibly have been observed. Such a specification implies the knowledge of the mechanism by which the data were generated or substantial experience of similar data from previous experiments. Often, this knowledge is not available.
We may, however, be able to specify the range of possible response values and past experience with similar data is usually sufficient to specify, in a qualitative fashion, a few additional characteristic features of the data. From these characteristics, we may construct a quasi-likelihood function.
Note that AIC is not computed for the quasi-GLM because there is no 'real' likelihood function.
| Field Summary | |
|---|---|
Beta |
beta
the GLM coefficients β^ statistics |
QuasiGlmProblem |
problem
the quasi- generalized linear regression problem to be solved |
Residuals |
residuals
the residual analysis of this quasi GLM regression |
| Constructor Summary | |
|---|---|
GeneralizedLinearModelQuasiFamily(QuasiGlmProblem problem)
Construct a GeneralizedLinearModelQuasiFamily instance. |
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| Method Summary |
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| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
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public final QuasiGlmProblem problem
public final Beta beta
public final Residuals residuals
| Constructor Detail |
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public GeneralizedLinearModelQuasiFamily(QuasiGlmProblem problem)
problem - the quasi generalized linear regression problem to be solved
|
SuanShu, a Java numerical and statistical library | |||||||
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