Statistical Group Comparison
Aus der Reihe
Wiley Series in Probability and Statistics
Fr. 130.00
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
20.09.2011
Verlag
WileySeitenzahl
240 (Printausgabe)
Dateigröße
11866 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118150610
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.
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.
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