A mixture likelihood approach for generalized linear models
type: Item
instance of: scholarly article
title: A mixture likelihood approach for generalized linear models
zbMATH Open document ID: 0825.62611
DOI: 10.1007/BF01202266
author: Michel Wedel
author: Wayne S. DeSarbo
published in: Journal of Classification
publication date: 1995-12-13T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 65C99
zbMATH DE Number: 815986
Wikidata QID: Q59446644
MaRDI profile type: Publication
cites work: Q3696308
cites work: A new look at the statistical model identification
cites work: Q3996272
cites work: Consistency and Asymptotic Normality of MLE's for Exponential Models
cites work: Q4746656
cites work: Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
cites work: Multi-sample cluster analysis using Akaike's information criterion
cites work: Q3997553
cites work: Hypothesis Testing When a Nuisance Parameter is Present Only Under the Alternative
cites work: Estimating the components of a mixture of normal distributions
cites work: An overview of multivariate data analysis
cites work: Q4139463
cites work: A maximum likelihood methodology for clusterwise linear regression
cites work: A latent class probit model for analyzing pick any/N data
cites work: Q3918886
cites work: Some Methods for Studying the Mixture of Two Normal (Lognormal) Distributions
cites work: A comparison of some methods for estimating mixed normal distributions
cites work: Q5369143
cites work: Exploratory latent structure analysis using both identifiable and unidentifiable models
cites work: Q3218923
cites work: Maximum likelihood estimates in exponential response models
cites work: Q5578648
cites work: Maximum likelihood estimates of the parameters of a mixture of two regression lines
cites work: The Delta Algorithm and GLIM
cites work: Q5572802
cites work: Mixtures of distributions: A topological approach
cites work: Q3949804
cites work: Probits of Mixtures
cites work: Q3998435
cites work: Efficient estimation and local identification in latent class analysis
cites work: Note on ''Efficient estimation and local identification in latent class analysis''
cites work: Q3658949
cites work: Q4692755
cites work: Q3829042
cites work: An Iterative Procedure for Obtaining Maximum-Likelihood Estimates of the Parameters for a Mixture of Normal Distributions
cites work: Estimating Mixtures of Normal Distributions and Switching Regressions
cites work: A New Approach to Estimating Switching Regressions
cites work: Mixture Densities, Maximum Likelihood and the EM Algorithm
cites work: Q3311717
cites work: Estimating the dimension of a model
cites work: Q3803965
cites work: Clustering Criteria and Multivariate Normal Mixtures
cites work: On the Mixture of Distributions
cites work: Some recent research in the analysis of mixture distributions
cites work: Statistical analysis of finite mixture distributions
cites work: On the convergence properties of the EM algorithm
full work available at URL: https://doi.org/10.1007/bf01202266
OpenAlex ID: W2016548223
description: scientific article; zbMATH DE number 815986