Applied Multivariate Data Analysis
Seiten
2001
|
2nd Revised edition
Hodder Arnold (Verlag)
978-0-340-74122-1 (ISBN)
Hodder Arnold (Verlag)
978-0-340-74122-1 (ISBN)
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Multivariate analysis plays an important role in the understanding of complex data sets requiring simultaneous examination of all variables. It provides the means for both describing and exploring data. This book introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken.
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.
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.
Graham Dunn, School of Epidemiology and Health Sciences, University of Manchester, UK
Multivariate data / Mathematical and statistical background / Exploring multivariate data graphically / Exploratory factor analysis / Correspondence analysis / Multidimensional scaling / Cluster analysis / Latent class analysis / Discriminant function analysis / Multivariate dependencies / Classical multivariate inference / Longitudinal data / Problems of measurement error / Confirmatory factor analysis and structural equation models.
| Erscheint lt. Verlag | 2.3.2001 |
|---|---|
| Zusatzinfo | illustrations |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 163 x 235 mm |
| Gewicht | 530 g |
| Themenwelt | Mathematik / Informatik ► Mathematik |
| ISBN-10 | 0-340-74122-8 / 0340741228 |
| ISBN-13 | 978-0-340-74122-1 / 9780340741221 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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