Statistical Group Comparison

Tim Futing Liao

212 pages, parution le 03/05/2002

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Résumé

An incomparably useful examination of statistical methods for comparison

The nature of doing science, be it natural or social, inevitably calls for comparison. Statistical methods are at the heart of such comparison, for they not only help us gain understanding of the world around us but often define how our research is to be carried out. The need to compare between groups is best exemplified by experiments, which have clearly defined statistical methods. However, true experiments are not always possible. What complicates the matter more is a great deal of diversity in factors that are not independent of the outcome.

Statistical Group Comparison brings together a broad range of statistical methods for comparison developed over recent years. The book covers a wide spectrum of topics from the simplest comparison of two means or rates to more recently developed statistics including double generalized linear models and Bayesian as well as hierarchical methods. Coverage includes:

Testing parameter equality in linear regression and other generalized linear models (GLMs), in order of increasing complexity
Likelihood ratio, Wald, and Lagrange multiplier statistics examined where applicable
Group comparisons involving latent variables in structural equation modeling
Models of comparison for categorical latent variables

Examples are drawn from the social, political, economic, and biomedical sciences; many can be implemented using widely available software. Because of the range and the generality of the statistical methods covered, researchers across many disciplines–beyond the social, political, economic, and biomedical sciences–will find the book a convenient reference for many a research situation where comparisons may come naturally.

Contents

1. Introduction.
2. Statistical Foundation for Comparison.
3. Comparison in Linear Models.
4. Nonparametric Comparison.
5. Comparison of Rates.
6. Comparison in Generalized Linear Models.
7. Additional Topics of Comparison in Generalized Linear Models.
8. Comparison in Structural Equation Modeling.
9. Comparison with Categorical Latent Variables.
10. Comparison in Multilevel Analysis.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Tim Futing Liao
Parution	03/05/2002
Nb. de pages	212
Format	16 x 24
Couverture	Relié
Poids	460g
Intérieur	Noir et Blanc
EAN13	9780471386469