Maximum likelihood estimation in models with two systematic parts
type: Item
instance of: scholarly article
title: Maximum likelihood estimation in models with two systematic parts
zbMATH Open document ID: 0636.62018
DOI: 10.1016/0167-9473(88)90060-6
author: W. Douglas Stirling
published in: Computational Statistics and Data Analysis
publication date: 1988-01-01T00:00:00Z
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J99
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 4036910
zbMATH Keywords: auxiliary parameters
zbMATH Keywords: Fisher's scoring technique
zbMATH Keywords: iteratively reweighted least squares
zbMATH Keywords: linear models
zbMATH Keywords: Newton-Raphson algorithm
zbMATH Keywords: NRL algorithm
zbMATH Keywords: parametric link functions
zbMATH Keywords: maximum likelihood estimation
zbMATH Keywords: sequence of least squares calculations
zbMATH Keywords: heteroscedastic normal models
zbMATH Keywords: negative binomial models
describes a project that uses: AS 216
MaRDI profile type: Publication
full work available at URL: 0167-9473(88)90060-6
OpenAlex ID: W2059162071
cites work: Q4114633
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cites work: Estimation for a weibull accelerated life testing model
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cites work: Maximum likelihood estimation and large-sample inference for generalized linear and nonlinear regression models
cites work: The Delta Algorithm and GLIM
cites work: Goodness of Link Tests for Generalized Linear Models
cites work: Iteratively Reweighted Least Squares for Models with a Linear Part
cites work: Fitting generalized linear models and their nonlinear extensions with least squares calculations
cites work: Q4044015
description: scientific article; zbMATH DE number 4036910