scispace - formally typeset
Journal ArticleDOI

Power-divergence-type measure of departure from symmetry for square contingency tables that have nominal categories

Reads0
Chats0
TLDR
In this article, the authors proposed a generalization of Tomizawa's measures by using the average of the power divergence of Cressie and Read, or the averaging of the diversity index of Patil and Taillie.
Abstract
For square contingency tables that have nominal categories, Tomizawa considered two kinds of measure to represent the degree of departure from symmetry. This paper proposes a generalization of those measures. The proposed measure is expressed by using the average of the power divergence of Cressie and Read, or the average of the diversity index of Patil and Taillie. Special cases of the proposed measure include Tomizawa's measures. The proposed measure would be useful for comparing the degree of departure from symmetry in several tables.

read more

Citations
More filters

The analysis of symmetry and asymmetry : orthogonality of decomposition of symmetry into quasi-symmetry and marginal symmetry for multi-way tables

TL;DR: In this article, the authors propose le modele de quasi-symetrie and montre qu'un tableau est symetrique si and seulement s'il satisfait a la fois quasi symetria and egalite des distributions marginales.
Journal ArticleDOI

Theory & Methods: Measure of Asymmetry for Square Contingency Tables Having Ordered Categories

TL;DR: In this paper, a measure that represents the degree of asymmetry for square contingency tables with ordered categories (instead of those with nominal categories) was proposed, expressed using the Cressie-Read power-divergence or Patil-Taillie diversity index, defined for the cumulative probabilities that an observation falls in row (column) category i or below and column (row) category j(> i) or above.
Journal ArticleDOI

Measure of departure from marginal homogeneity for square contingency tables having ordered categories

TL;DR: In this article, the authors proposed a measure to represent the degree of departure from marginal homogeneity for square contingency tables with ordered categories, which is expressed by using the Cressie and Read's (1984) power-divergence or Patil and Tail-lie's (1982) diversity index, defined for the cumulative probablities that an observation will fall in row (column) category i or below and column (row) categoryi + 1 or above.
Journal ArticleDOI

Generalized marginal homogeneity model and its relation to marginal equimoments for square contingency tables with ordered categories

TL;DR: A generalized MH model is proposed, which describes a structure of the odds that an observation will fall in row category i or below and column category i + 1 or above, instead of in column categoryi orbelow and row category m-order moment of row and column variables.
Journal ArticleDOI

Asymptotic Approximations for the Distributions of the Multinomial Goodness-of-Fit Statistics under Local Alternatives

TL;DR: In this article, Cressie and Read introduced a class of multinomial goodness-of-fit statistics Ra based on power divergence, and proposed a new approximation of the power of Ra called the approximation AE approximation.
References
More filters
Journal ArticleDOI

Categorical Data Analysis

Alan Agresti
- 01 May 1991 - 
TL;DR: In this article, categorical data analysis was used for categorical classification of categorical categorical datasets.Categorical Data Analysis, categorical Data analysis, CDA, CPDA, CDSA
Book

Discrete multivariate analysis: theory and practice

TL;DR: Discrete Multivariate Analysis is a comprehensive text and general reference on the analysis of discrete multivariate data, particularly in the form of multidimensional tables, and contains a wealth of material on important topics.
Book

Analysis of ordinal categorical data

Alan Agresti
TL;DR: In this article, the authors present a survey of the advantages of using logit models in regression models for Ordinal Probabilities, Scores, and Odds Ratios, as well as their drawbacks.
Book

Goodness-of-Fit Statistics for Discrete Multivariate Data

TL;DR: In this article, the authors present a unified approach to model testing, including the use of the power-divergence measure in visual perception, which is a measure of loss and a criterion for general Parameter Estimation.
Related Papers (5)