Maximum likelihood methods for linear and log-linear models in categorical data
- 1 May 1985
- journal article
- Published by Elsevier in Computational Statistics & Data Analysis
- Vol. 3, 1-10
- https://doi.org/10.1016/0167-9473(85)90053-2
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
- A comparison of tests for the hypothesis of no three-factor interaction in 2 × 2 × 2 contingency tablesJournal of Statistical Computation and Simulation, 1984
- Categorical Data Analysis: Some Reflections on the Log Linear Model and Logistic Regression. Part I: Historical and Methodological OverviewInternational Statistical Review, 1981
- Simple Models for the Analysis of Association in Cross-Classifications having Ordered CategoriesJournal of the American Statistical Association, 1979
- Generalized Iterative Scaling for Log-Linear ModelsThe Annals of Mathematical Statistics, 1972