Add to ORKGIn categorical data analysis, log-linear models are widely used statistical tools for analyzing the relationship among variables in the data. On the other hand, Worcester (1971) introduced another log-linear model for the 2 × 2 × 2 contingency table.Recently, Funo (2004), (2006), (2007) expanded this model for contingency tables in generaland obtained several results for the maximum likelihood estimator of expected frequencies. In this research memorandom, the statistical model that is related to the model described in Funo (2007) is examined. The result of this research is somewhat different from the former studies
The person-centered approach in categorical data analysis is introduced as a complementary approach ...
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but...
This paper describes the historical development of analytic techniques for frequency data presented ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
The log-linear model is described as a framework for analyzing effects in multi-dimensional continge...
In several social and biomedical investigations the collected data can be classified into several ca...
Consider a set of categorical variables P where at least one, denoted by Y, is binary. The log-linea...
Multidimensional contingency tables are suitable tool for capturing the count of observations of mul...
Medical and health policy research data me often most informative when presented as a multidimension...
There is a great deal of literature on modeling (separately) either the univariate or joint distribu...
The common view of the history of contingency tables is that it begins in 1900 with the work of Pear...
The common view of the history of contingency tables is that it begins in 1900 with the work of Pear...
We propose a class of multiplicative models to describe the dependence of the response count on the ...
The person-centered approach in categorical data analysis is introduced as a complementary approach ...
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but...
This paper describes the historical development of analytic techniques for frequency data presented ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
In categorical data analysis, log-linear models are widely used statistical tools for analyzing the ...
The log-linear model is described as a framework for analyzing effects in multi-dimensional continge...
In several social and biomedical investigations the collected data can be classified into several ca...
Consider a set of categorical variables P where at least one, denoted by Y, is binary. The log-linea...
Multidimensional contingency tables are suitable tool for capturing the count of observations of mul...
Medical and health policy research data me often most informative when presented as a multidimension...
There is a great deal of literature on modeling (separately) either the univariate or joint distribu...
The common view of the history of contingency tables is that it begins in 1900 with the work of Pear...
The common view of the history of contingency tables is that it begins in 1900 with the work of Pear...
We propose a class of multiplicative models to describe the dependence of the response count on the ...
The person-centered approach in categorical data analysis is introduced as a complementary approach ...
Log-linear models are useful for analyzing cross-classifications of counts arising in sociology, but...
This paper describes the historical development of analytic techniques for frequency data presented ...