Fundamentals of modern statistical methods

Substantially improving power and accuracy

Rand R. Wilcox

258 pages, parution le 19/04/2004

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Résumé

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Improved methods have been derived, but they are far from obvious or intuitive based on the training most researchers receive. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research.

L'auteur - Rand R. Wilcox

Rand Wilcox , University of Southern California

Sommaire

Genesis of a Science
- Derivation Curve
- What Am I Holding
- Least Squares
- Quantifying Accuracy
- Solving Bernoulli's Problem
- Promoting Normality
Exploiting Normality
- Dealing with Small Samples Sizes
- Correlation
Dealing with Nonnormality
- Revolution with a Whimper
- Robust Methods
- Bootstrap

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Rand R. Wilcox
Parution	19/04/2004
Nb. de pages	258
Format	16 x 24
Couverture	Relié
Poids	518g
Intérieur	Noir et Blanc
EAN13	9780387951577
ISBN13	978-0-387-95157-7