The minimum discrimination information approach in analyzing categorical data
- 1 January 1978
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 7 (10) , 987-1005
- https://doi.org/10.1080/03610927808827687
Abstract
A brief review of the minimum discrimination information (MDI) approach in analyzing categorical data is presented in a question -answer format, An example is given to bring out situations in which the MDI approach is more useful. No new results are proved.Keywords
This publication has 10 references indexed in Scilit:
- Defining the Curvature of a Statistical Problem (with Applications to Second Order Efficiency)The Annals of Statistics, 1975
- Loglinear Models in Contingency Table AnalysisThe American Statistician, 1974
- Analysis of Categorical Data by Linear ModelsPublished by JSTOR ,1969
- Full Contingency Tables, Logits, and Split Contingency TablesPublished by JSTOR ,1969
- Application of Minimum Logit χ 2 Estimate to a Problem of Grizzle with a Notation on the Problem of 'No Interaction'Biometrics, 1968
- Models for Complex Contingency Tables and Polychotomous Dosage Response CurvesBiometrics, 1966
- A Note on the Equivalence of Two Test Criteria for Hypotheses in Categorical DataJournal of the American Statistical Association, 1966
- Maximum Likelihood in Three-Way Contingency TablesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1963