Add to ORKGThe paper compares asymptotic, exact conditional and exact unconditional tests for the evaluation of contingency tables. Relationship of asymptotic methods with generalized linear models is studied. The work focuses on exact methods, which yield promising results in the analysis of data with small samples. Some of the methods are alternatively derived in the context of logistic and Poisson regression
This paper makes use of some well-known concepts in regression modelling to define two-factor intera...
This paper describes the historical development of analytic techniques for frequency data presented ...
Five tests of homogeneity for a 2x(k+l) contingency table are compared using Monte Carlo techniques....
Contingency tables (or cross tables) classify elements of populations or samples (of varying kinds) ...
The log-linear model is described as a framework for analyzing effects in multi-dimensional continge...
The testing for an association between two categorical variables using count data is commonplace in ...
Applied researchers often use tests based on contingency tables in preliminary data analysis and dia...
Omnibus tests of significance in contingency tables use statistics of the chi-square type. When the ...
This thesis is mainly concerned with conditional inference for contingency tables, where the MCMC me...
Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests...
A generalized Exact Test for n x m contingency tables based upon methodology of the Fisher- Yates Ex...
Applied researchers often use tests based on contingency tables, especially in preliminary data anal...
Very sparse contingency tables with a multiplicative structure are studied. The number of unspecifie...
We propose a class of multiplicative models to describe the dependence of the response count on the ...
In this work we define a test to compare several square contingency tables under the quasi-symmetry ...
This paper makes use of some well-known concepts in regression modelling to define two-factor intera...
This paper describes the historical development of analytic techniques for frequency data presented ...
Five tests of homogeneity for a 2x(k+l) contingency table are compared using Monte Carlo techniques....
Contingency tables (or cross tables) classify elements of populations or samples (of varying kinds) ...
The log-linear model is described as a framework for analyzing effects in multi-dimensional continge...
The testing for an association between two categorical variables using count data is commonplace in ...
Applied researchers often use tests based on contingency tables in preliminary data analysis and dia...
Omnibus tests of significance in contingency tables use statistics of the chi-square type. When the ...
This thesis is mainly concerned with conditional inference for contingency tables, where the MCMC me...
Most texts on nonparametric techniques concentrate on location and linear-linear (correlation) tests...
A generalized Exact Test for n x m contingency tables based upon methodology of the Fisher- Yates Ex...
Applied researchers often use tests based on contingency tables, especially in preliminary data anal...
Very sparse contingency tables with a multiplicative structure are studied. The number of unspecifie...
We propose a class of multiplicative models to describe the dependence of the response count on the ...
In this work we define a test to compare several square contingency tables under the quasi-symmetry ...
This paper makes use of some well-known concepts in regression modelling to define two-factor intera...
This paper describes the historical development of analytic techniques for frequency data presented ...
Five tests of homogeneity for a 2x(k+l) contingency table are compared using Monte Carlo techniques....