Testing linear hypotheses in contingency tables with zero cell counts

DOI10.1016/0167-9473(86)90023-XzbMath0588.62091OpenAlexW2007496638MaRDI QIDQ1073505

W. Douglas Stirling

Publication date: 1986

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(86)90023-x

zbMATH Keywords

linear modelslog-linear modelsmarginal homogeneitytesting linear hypotheses

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Contingency tables (62H17)

Related Items (1)

Weighted least-squares and quasilikelihood estimation for categorical data under singular models

Uses Software

• AS 164

Cites Work

• Maximum likelihood methods for linear and log-linear models in categorical data
• Maximum likelihood estimation and large-sample inference for generalized linear and nonlinear regression models
• Iteratively Reweighted Least Squares for Models with a Linear Part
• Analysis of Categorical Data by Linear Models
• Tests of Homogeneity for Correlated Samples
• Algorithm AS 164: Least Squares Subject to Linear Constraints
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