On the bivariate normal distribution and association models for ordinal categorical data
type: Item
instance of: scholarly article
title: On the bivariate normal distribution and association models for ordinal categorical data
zbMATH Open document ID: 0681.62054
DOI: 10.1016/0167-7152(89)90023-0
author: Mark P. Becker
published in: Statistics \& Probability Letters
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 62H17
zbMATH DE Number: 4115762
zbMATH Keywords: Kullback-Leibler distance
zbMATH Keywords: uniform association model
zbMATH Keywords: linear-by-linear association model
zbMATH Keywords: normal scores
zbMATH Keywords: bivariate normal distribution
zbMATH Keywords: contingency tables
MaRDI profile type: Publication
full work available at URL: 0167-7152(89)90023-0
OpenAlex ID: W2036435423
cites work: A Survey of Strategies for Modeling Cross-Classifications Having Ordinal Variables
cites work: The Analysis of Multivariate Contingency Tables by Restricted Canonical and Restricted Association Models
cites work: Ordinal Association in Contingency Tables: Some Interpretive Aspects
cites work: Association models and the bivariate normal for contingency tables with ordered categories
cites work: The analysis of cross-classified data having ordered and/or unordered categories: Association models, correlation models, and asymmetry models for contingency tables with or without missing entries
cites work: Some Useful Extensions of the Usual Correspondence Analysis Approach and the Usual Log-Linear Models Approach in the Analysis of Contingency Tables
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description: scientific article; zbMATH DE number 4115762