Maximum likelihood methods for linear and log-linear models in categorical data
From MaRDI portal
Publication:1071434
DOI10.1016/0167-9473(85)90053-2zbMath0586.62084OpenAlexW2004629415MaRDI QIDQ1071434
Publication date: 1985
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-9473(85)90053-2
linear modelmaximum likelihood estimatorsgoodness of fitcategorical datageneralized log-linear modellarge- sample estimatorsmultinomial sampling schemeweighted least squares methods
Related Items
Restricted multinomial maximum likelihood estimation based upon Fenchel duality, On tests of symmetry, marginal homogeneity and quasi-symmetry in two-way contingency tables based on minimum φ-divergence estimator with constraints, Modeling Clustered Ordered Categorical Data: A Survey, Mantel-Haenszel estimators of odds ratios for stratified dependent binomial data, Universal Features for High-Dimensional Learning and Inference, The analysis of symmetry and asymmetry: orthogonality of decomposition of symmetry into quasi-symmetry and marginal symmetry for multi-way tables, Analysis of divergence in loglinear models when expected frequencies are subject to linear constraints, Weighted least-squares and quasilikelihood estimation for categorical data under singular models, Parameterization and estimation of path models for categorical data, On tests of homogeneity based on minimum \(\varphi \)-divergence estimator with constraints, Quasi-diagonal exponent symmetry model for square contingency tables with ordered categories, Orthogonal decomposition of point-symmetry for multiway tables, Modeling a Categorical Variable Allowing Arbitrarily Many Category Choices, Linear ordinal quasi-symmetry model and decomposition of symmetry for multi-way tables, Multivariate Tests Comparing Binomial Probabilities, with Application to Safety Studies for Drugs, Fast estimation algorithm for likelihood-based analysis of repeated categorical responses, A note on multinomial maximum likelihood estimation under ordered restrictions and the EM algorithm, Maximum likelihood methods for a generalized class of log-linear models, Mantel-Haenszel estimators of a common odds ratio for multiple response data, Marginal models for categorical data, Generalized log-linear models with random effects, with application to smoothing contingency tables, Anova for repeated ordinal data with small sample size? a comparison of anova, manova, wls and gee methods by simulation, Parameter estimation in linear multinomial models, Minimum \(\phi\)-divergence estimators with constraints in multinomial populations, On the maximum-likelihood analysis of the general linear model in categorical data., Double linear diagonals-parameter symmetry and decomposition of double symmetry for square tables, Testing linear hypotheses in contingency tables with zero cell counts
Cites Work
- Unnamed Item
- Unnamed Item
- Analysis of Categorical Data by Linear Models
- Maximum Likelihood Methods for Log-Linear Models When Expected Frequencies are Subjected to Linear Constraints
- Categorical Data Analysis: Some Reflections on the Log Linear Model and Logistic Regression. Part I: Historical and Methodological Overview
- A General Methodology for the Analysis of Experiments with Repeated Measurement of Categorical Data
- Generalized Iterative Scaling for Log-Linear Models
