Journal ArticleDOI
Log-linear models
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The authors examines log-linear models for contingency tables and uses previous knowledge of analysis of variance and regression to motivate and explicate the use of loglinear models, which can be used at both higher and lower levels.Abstract:
This book examines log-linear models for contingency tables It uses previous knowledge of analysis of variance and regression to motivate and explicate the use of log-linear models It is a textbook primarily directed at advanced Masters degree students in statistics but can be used at both higher and lower levels Outlines for introductory, intermediate and advanced courses are given in the preface All the fundamental statistics for analyzing data using log-linear models are givenread more
Citations
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Factors affecting the prevalence of blood parasites of Little Owls Athene noctua in southern Portugal
TL;DR: Tome et al. as discussed by the authors proposed a method for the identification of the most important genes in a set of genes for a particular species of plants. But they did not specify which genes to use.
Proceedings ArticleDOI
A neuro-fuzzy approach to aerobic fitness classification: a multistructure solution to the context-sensitive feature selection problem
TL;DR: A neuro-fuzzy approach to the problem of context-sensitive feature selection based on a fuzzy preclassifier and multistructure feedforward neural networks improves the classification accuracy by over 10 percent.
Journal ArticleDOI
Prognostic performance of two expert systems based on Bayesian belief networks
TL;DR: Results indicate that the prognostic judgment of non-neurosurgeon ICU clinicians can be aided by the use of this decision support system, which is not significantly different than that of the neurosurgeon expert and better than the performance of the independence model.
Book ChapterDOI
The Analysis of Contingency Tables
TL;DR: This article used statistical models to make inferences about the distribution of one or more dependent variables (which may be observed and/or unobserved), conditional on a set of independent variables.
Journal ArticleDOI
Models of Association Versus Causal Models for Contingency Tables
TL;DR: In this article, the authors compared graphical association models and graphical chain models for summarizing road accident data and showed that for the same set of data, the two types of analysis may give different answers.
References
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Book
The analysis of cross-classified categorical data
TL;DR: The second edition has been updated and revised, with more emphasis on logic and logistic response properties and on the small-sample behavior of chi-square statistics as mentioned in this paper, and includes 40 to 50 new problems with most having separate data sheets.
Book
The analysis of contingency tables
TL;DR: Contingency tables and the chi-square test as mentioned in this paper are two types of contingency tables, i.e., 2 x 2 and r x c. Contingency table.
Journal ArticleDOI
The Analysis of Cross-Classified Categorical Data
A. Stuart,Stephen E. Fienberg +1 more
TL;DR: The second edition has been updated and revised, with more emphasis on logic and logistic response properties and on the small-sample behavior of chi-square statistics.
BookDOI
Plane answers to complex questions: the theory of linear models
TL;DR: In this article, one-way ANOVA and multiple comparison techniques were used to estimate the covariance of a model with a multifactor analysis of Variance component in a design model.