[[abstract]]On the basis of the orthogonal decomposition of On the basis of the orthogonal decomposition of Pearson’s chi-square test statistics, a new testing method is proposed to investigate the association between two categorical variables. The approximate sampling distributions of the proposed test statistics were studied by using intensive Monte Carlo simulation. Two examples are used to demonstrate the application of the proposed method.[[notice]]補正完
We study exact tests for (2 x 2) and (2 x 3) contingency tables, in particular exact chi-squared tes...
In the context of categorical data analysis, the CATegorical ANalysis Of Variance (CATANOVA) has bee...
Correspondence analysis (CA) has gained a reputation for being a very useful statistical technique f...
It is straight forward to analyze data from a single multinomial table. Speci¯cally, for the analysi...
This paper is concerned with the sampling behaviour of raw and partial measures of association betwe...
In this paper a new index to analyse the dependence between categorical variables is presented and i...
It is well known that the Pearson statistic χ2 can perform poorly in studying the association betwe...
Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. In this article ...
Pearson’s chi-square statistic is well established for testing goodness-of-fit of various hypothese...
In this article we develop an extension of categorical analysis of variance for one response and two...
n this paper we present an unification to the methods for graphically summarising the association be...
This thesis introduces statistical methods for categorical data. These methods are especially used i...
This Ph.D. thesis deals with one of the fundamental problems of categorical data analysis, namely th...
This tutorial will cover how to carry out tests using the Chi Square statistic and distribution to e...
A suitable measure of association for two ordered variables is the doubly cumulative chi-squared sta...
We study exact tests for (2 x 2) and (2 x 3) contingency tables, in particular exact chi-squared tes...
In the context of categorical data analysis, the CATegorical ANalysis Of Variance (CATANOVA) has bee...
Correspondence analysis (CA) has gained a reputation for being a very useful statistical technique f...
It is straight forward to analyze data from a single multinomial table. Speci¯cally, for the analysi...
This paper is concerned with the sampling behaviour of raw and partial measures of association betwe...
In this paper a new index to analyse the dependence between categorical variables is presented and i...
It is well known that the Pearson statistic χ2 can perform poorly in studying the association betwe...
Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. In this article ...
Pearson’s chi-square statistic is well established for testing goodness-of-fit of various hypothese...
In this article we develop an extension of categorical analysis of variance for one response and two...
n this paper we present an unification to the methods for graphically summarising the association be...
This thesis introduces statistical methods for categorical data. These methods are especially used i...
This Ph.D. thesis deals with one of the fundamental problems of categorical data analysis, namely th...
This tutorial will cover how to carry out tests using the Chi Square statistic and distribution to e...
A suitable measure of association for two ordered variables is the doubly cumulative chi-squared sta...
We study exact tests for (2 x 2) and (2 x 3) contingency tables, in particular exact chi-squared tes...
In the context of categorical data analysis, the CATegorical ANalysis Of Variance (CATANOVA) has bee...
Correspondence analysis (CA) has gained a reputation for being a very useful statistical technique f...