Methods of Multivariate Analysis | Second Edition

Rencher, Alvin C.

ISBN 10: 0471418897 / ISBN 13: 9780471418894

Edité par Wiley - Interscience, New York, 2002

A propos de cet article

Wiley Series in Probability and Statistics. 6-1/4" x 9-1/2", xxii + 708pp + 7pp publisher's listing of other titles in series. Printed on acid-free paper and perfect case bound in laminated illustrated library cloth boards. No jacket, probably as issued. Minor shelf wear, edge wear to cover. Binding is square and tight. Pages are clean and bright and unmarked.

N° de réf. du vendeur 005272

Détails bibliographiques

• Titre: Methods of Multivariate Analysis | Second Edition
• Éditeur: Wiley - Interscience, New York
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0471418897
• ISBN à 13 chiffres: 9780471418894
• Reliure: Hardcover
• Édition: 2ème Édition
• État de l'article: Near Fine
• État de la jaquette: No Jacket
• Catalogues du vendeur:
  • Science + Technical

A propos de ce titre

Synopsis

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.

À propos de l?auteur

ALVIN C. RENCHER, PhD, is Professor of Statistics at Brigham Young University and a Fellow of the American Statistical Association. He is the author of Linear Models in Statistics and Multivariate Statistical Inference and Applications, both available from Wiley.