Methods of Multivariate Statistics - Rilegato

Srivastava, Muni Shanker

Rilegato

ISBN 10: 0471223816 ISBN 13: 9780471223818

Casa editrice: Wiley-Interscience, 2002

Riassunto

Das Werk beschäftigt sich mit Zufallsvariablen, die quantitativ gemessen werden können und in der Regel als Normalverteilung vorliegen.
- außerdem wird ein Überblick über moderne multivariate Methoden gegeben
- Voraussetzung sind elementare Kenntnisse von Matrixoperationen und von statistischen Verfahren mit einer Variablen
- besprochen werden Verfahren zum Überprüfen von Hypothesen und zur Profilanalyse sowie die Hauptkomponentenmethode zur Vorhersage einer Antwortvektors mit mehreren Variablen
- viele der Methoden werden zur Auswertung pharmazeutischer und medizinischer Versuchsreihen verwendet
- didaktisch sinnvoll aufgebaut mit übersichtlichen Kapiteleinführungen und Übungsaufgaben

Su questo libro

Informazioni sull?autore

MUNI SHANKER SRIVASTAVA, PhD, is a Professor in the Department of Statistics at the University of Toronto. He is an Elected Member of the International Statistics Institute, a Fellow of the Institute of Mathematical Statistics, a Fellow of the Royal Statistical Society, and a Fellow of the American Statistical Association.

Dalla quarta di copertina

Get up-to-speed on the latest methods of multivariate statistics

Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach of most researchers and data analysts. With an emphasis on computing techniques in combination with a full understanding of the mathematics behind the methods, Methods of Multivariate Statistics offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing of hypotheses, and "profile analysis," this book offers comprehensive discussions of commonly encountered multivariate data and also covers some practical and important problems lacking in other texts. These include:
* Missing at-random observations
* "Growth Curve Models" and multivariate one-sided tests applicable in pharmaceutical and medical trials
* Bootstrap methods
* Principal component method for predicting a multivariate response vector
* Outlier detection and handling inference when covariance is singular

With clear chapter introductions and numerous problem sets, Methods of Multivariate Statistics meets every statistician's need for a comprehensive investigation of the latest methods in multivariate statistics.

Dettagli dell?edizione

• Editore: Wiley-Interscience
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 0471223816
• ISBN 13: 9780471223818
• Rilegatura: Copertina rigida
• Numero di pagine: 697
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile