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Journal ArticleDOI

Log-linear models

Mohamed Habibullah
- 01 May 1992 - 
- Vol. 34, Iss: 2, pp 227-227
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TLDR
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 given

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Dissertation

The Impact of Model Selection on Loglinear Analysis of Contingency Tables

Jing Gao
TL;DR: This study examined the effect of model selection on inference in the framework of loglinear modeling and investigated the performance of the estimator provided by the Bayesian model averaging method and the usefulness of the multi-model inference as opposed to the single model.
Posted Content

Cross-sectional profitability of Namibian formal small-scale mining firms in 1990

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Data Cube Approximation and Mining using Probabilistic Modeling

TL;DR: This work proposes to analyze the potential of two probabilistic modeling techniques, namely non-negative multi-way array factorization and log-linear modeling, with the ultimate objective of compressing and mining aggregate and multidimensional values.
Journal ArticleDOI

The German Administrative Record Census – An object identification problem

TL;DR: In this article, the authors present a two-step procedure for the classification of records in the administrative record census, where the object identification problem is perceived as a special classification problem and pairs of records are classified as "matched" or "not matched".
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

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.