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![]( "Buchcover ISBN 9781118150610")
„... presents a range of statistical methods for comparison of datasets.“ (SciTech Book News, Vol. 26, No. 2, June 2002)
„... excellent resource book... highly recommended for graduatestudents, faculty, and researchers.“ (Choice, Vol. 40, No.3, November 2002)
„... graduate students and applied researchers may find the booka convenient reference...“ (Short Book Reviews, December 2002)
„... brings together a broad range of statistical methods forcomparison developed over recent years.“ (MathematicalReviews, 2003b)
„... covers a wide variety of statistical methodologies in whichgroup comparisons play a key role... worth reading... to get anoverview of... topics covered.“ (Technometrics, Vol. 45, No.2, May 2003)
Statistical Group Comparison
von Tim Futing LiaoAn incomparably useful examination of statistical methods forcomparison
The nature of doing science, be it natural or social, inevitablycalls for comparison. Statistical methods are at the heart of suchcomparison, for they not only help us gain understanding of theworld around us but often define how our research is to be carriedout. The need to compare between groups is best exemplified byexperiments, which have clearly defined statistical methods. However, true experiments are not always possible. What complicatesthe matter more is a great deal of diversity in factors that arenot independent of the outcome.
Statistical Group Comparison brings together a broad range ofstatistical methods for comparison developed over recent years. Thebook covers a wide spectrum of topics from the simplest comparisonof two means or rates to more recently developed statisticsincluding double generalized linear models and Bayesian as well ashierarchical methods. Coverage includes:
* Testing parameter equality in linear regression and othergeneralized linear models (GLMs), in order of increasingcomplexity
* Likelihood ratio, Wald, and Lagrange multiplier statisticsexamined where applicable
* Group comparisons involving latent variables in structuralequation modeling
* Models of comparison for categorical latent variables
Examples are drawn from the social, political, economic, andbiomedical sciences; many can be implemented using widely availablesoftware. Because of the range and the generality of thestatistical methods covered, researchers across manydisciplines-beyond the social, political, economic, and biomedicalsciences-will find the book a convenient reference for many aresearch situation where comparisons may come naturally.
The nature of doing science, be it natural or social, inevitablycalls for comparison. Statistical methods are at the heart of suchcomparison, for they not only help us gain understanding of theworld around us but often define how our research is to be carriedout. The need to compare between groups is best exemplified byexperiments, which have clearly defined statistical methods. However, true experiments are not always possible. What complicatesthe matter more is a great deal of diversity in factors that arenot independent of the outcome.
Statistical Group Comparison brings together a broad range ofstatistical methods for comparison developed over recent years. Thebook covers a wide spectrum of topics from the simplest comparisonof two means or rates to more recently developed statisticsincluding double generalized linear models and Bayesian as well ashierarchical methods. Coverage includes:
* Testing parameter equality in linear regression and othergeneralized linear models (GLMs), in order of increasingcomplexity
* Likelihood ratio, Wald, and Lagrange multiplier statisticsexamined where applicable
* Group comparisons involving latent variables in structuralequation modeling
* Models of comparison for categorical latent variables
Examples are drawn from the social, political, economic, andbiomedical sciences; many can be implemented using widely availablesoftware. Because of the range and the generality of thestatistical methods covered, researchers across manydisciplines-beyond the social, political, economic, and biomedicalsciences-will find the book a convenient reference for many aresearch situation where comparisons may come naturally.
