DispersionEstimatorFunction

DispersionEstimatorFunction

is an option for generalized linear model fitting functions that specifies the estimator for the dispersion parameter.

Details

Examples

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Basic Examples  (1)

Fit a Poisson model:

Compute the covariance matrix using the default dispersion estimate:

Estimate the dispersion by Pearson's :

Estimate the dispersion by the mean squared error:

Scope  (2)

Define the estimate within the FittedModel:

Fit a logit model:

Estimate the dispersion by the sum of squared errors:

Fit a probit model:

Estimate the dispersion by the mean squared error:

Wolfram Research (2008), DispersionEstimatorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

Text

Wolfram Research (2008), DispersionEstimatorFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

BibTeX

@misc{reference.wolfram_2021_dispersionestimatorfunction, author="Wolfram Research", title="{DispersionEstimatorFunction}", year="2008", howpublished="\url{https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html}", note=[Accessed: 25-September-2021 ]}

BibLaTeX

@online{reference.wolfram_2021_dispersionestimatorfunction, organization={Wolfram Research}, title={DispersionEstimatorFunction}, year={2008}, url={https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html}, note=[Accessed: 25-September-2021 ]}

CMS

Wolfram Language. 2008. "DispersionEstimatorFunction." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html.

APA

Wolfram Language. (2008). DispersionEstimatorFunction. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/DispersionEstimatorFunction.html