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Categorical Data Analysis: Log‐Linear and Latent Class Models

Allan McCutcheon and Colin Mills

in Research Strategies in the Social Sciences: A Guide to New Approaches

Published in print:
1998
Published Online:
November 2003
ISBN:
9780198292371
eISBN:
9780191600159
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/0198292376.003.0005
Subject:
Political Science, Reference

Extending the basic regression model to the analysis of contingency tables, using odds and odds ratios. The worked example shows how log‐linear and latent class techniques can be assimilated into a ... More


Maximum likelihood methods

Ziheng Yang

in Molecular Evolution: A Statistical Approach

Published in print:
2014
Published Online:
August 2014
ISBN:
9780199602605
eISBN:
9780191782251
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199602605.003.0004
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Evolutionary Biology / Genetics

This chapter describes the pruning algorithm for calculating the likelihood on a tree, as well as extensions under complex substitution models, including the gamma and covarion models of rate ... More


Generalized Linear Mixed-Effects Models

Andy Hector

in The New Statistics with R: An Introduction for Biologists

Published in print:
2015
Published Online:
March 2015
ISBN:
9780198729051
eISBN:
9780191795855
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198729051.003.0011
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Generalized linear mixed-effects models (GLMMs) are introduced as a combination of the mixed-effects models and GLMs met in earlier chapters. The additional challenges of the analysis are explored ... More


Model Uncertainty

Jeffrey S. Racine

in Reproducible Econometrics Using R

Published in print:
2019
Published Online:
January 2019
ISBN:
9780190900663
eISBN:
9780190933647
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780190900663.003.0006
Subject:
Economics and Finance, Econometrics

This chapter covers model selection methods and model averaging methods. It relies on knowledge of solving a quadratic program which is outlined in an appendix.


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