Recent Advances in Theory and Methods for the Analysis of Categorical Data: Making the Link to Statistical Practice

摘要

This paper reviews some of the general results on maximum likelihood estimation for loglinear models. These results have special relevance for the analysis of multidimensional contingency tables, and for the reporting of data from large-scale sample surveys. In addition, the results are applicable to other categorical data problems that are often representable in contingency table form.