Handbook of Parametric and Nonparametric Statistical Procedures

Sheskin, David J.

ISBN 10: 1439858012 / ISBN 13: 9781439858011

Edité par Chapman and Hall/CRC, 2011

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Unread book in perfect condition. N° de réf. du vendeur 12087712

Détails bibliographiques

Titre : Handbook of Parametric and Nonparametric ...

Éditeur : Chapman and Hall/CRC

Date d'édition : 2011

Reliure : Couverture rigide

Etat : As New

Edition : 5ème Édition

A propos de ce titre

Synopsis :

Rare book

Revue de presse:

all procedures are presented in detail. ... it is a reference book par excellence. It is very well edited and produced. I cannot think of a single-volume text which is close to the range and depth of this handbook. Professor Sheskin writes clearly and accessibly ... There is substantial material that any applied statistician, regardless of their interests or training, should know about and this handbook provides that and more in one remarkable volume. I am sure that this new edition of Sheskin’s handbook will be an extremely useful resource for researchers ... and also an invaluable reference for teachers and students who are engaged in applied statistics courses. ... I very much recommend it.
―Mario Cortina-Borja, Journal of the Royal Statistical Society, Series A, 2012

Praise for the Fourth Edition:
I recommend this book for those who already know which statistical test they want to apply and who want to learn how to do it, step by step, from the data to the conclusion. I also recommend it for teachers who will find a lot of good examples they can use within their courses.
―Philippe Castagliola, Journal of Applied Statistics, November 2007

This book occupies a unique place in the literature. I am sure I will come back to it to check a statistical test.
―Kostas Triantafyllopoulos, Significance, December 2007

... provides both depth and breadth of coverage ... I can safely recommend this book as a handy resource manual for researchers and applied practitioners as well as a textbook for students majoring in disciplines other than statistics.
―Technometrics, November 2007