Optimization in Generalized Linear Models: a Case Study
The maximum likelihood method is usually chosen to estimate the regression parameters of Generalized Linear Models (GLM) and also for hypothesis testing and goodness of fit tests. The classical method for estimating GLM parameters is the Fisher scores. In this work we propose to compute the estimate...
Main Author: | |
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Other Authors: | , |
Format: | article |
Language: | eng |
Published: |
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.22/10195 |
Country: | Portugal |
Oai: | oai:recipp.ipp.pt:10400.22/10195 |