Applied Multivariate Data Analysis - Softcover

Everitt, Brian; Dunn, Graham

 
9780340741221: Applied Multivariate Data Analysis
Softcover
ISBN 10: 0340741228 ISBN 13: 9780340741221
Verlag: Hodder Arnold, 2001

Inhaltsangabe

This book is fully updated to include new sections on neural networks, graphical modelling, hierarchical or multilevel modelling, and latent class models. The sections on correspondence analysis and principal components analysis have been expanded. It also offers more exercises for students and an updated review of the available software suited to multivariate analysis. The text avoids irrelevant theoretical statistics and concentrates on enabling the students to understand the concepts behind the data analysis.

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Über die Autorin bzw. den Autor

Graham Dunn, School of Epidemiology and Health Sciences, University of Manchester, UK

Von der hinteren Coverseite

Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. Breaking through the apparent disorder of the information, it provides the means for both describing and exploring data, aiming to extract the underlying patterns and structure. This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its 2nd edition, 'Applied Multivariate Data Analysis' has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, the authors provide clear explanations of each technique, as well as supporting figures and examples, and minimal technical jargon. With extensive exercises following every chapter, 'Applied Multivariate Data Analysis' is a valuable resource for students on applied statistics courses and applied researchers in many disciplines.

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Verlag
Hodder Arnold
Erscheinungsdatum
2001
Sprache
Englisch
ISBN 10 
0340741228
ISBN 13 
9780340741221
Einband
Taschenbuch
Anzahl der Seiten
342
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

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