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Applied multivariate data analysis

Author: Brian Everitt; G Dunn
Publisher: London ; Boston : E. Arnold ; New York : Halsted Press, 1991.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
Applied Multivariate Data Analysis is an intermediate-level text ideal for students and research workers in the social and behavioural sciences.
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Brian Everitt; G Dunn
ISBN: 0340545291 9780340545294 0470235519 9780470235515
OCLC Number: 34079808
Notes: Revised edition of: Advanced methods of data exploration and modelling. 1983.
Description: xii, 304 pages : illustrations ; 24 cm
Contents: 1. Data and Statistics --
2. Mathematical and Statistical Background --
3. The Initial Examination of Multivariate Data --
4. Reducing the Dimensionality of Multivariate Data: Principal Components and Correspondence Analysis --
5. Multidimensional Scaling --
6. Cluster Analysis --
7. The Generalised Linear Model --
8. Regression and The Analysis of Variance --
9. Linear Models for Categorical Data --
10. Models for Rates and Survival Times --
11. Analysis of Repeated Measures --
12. Discriminant Analysis --
13. Factor Analysis --
14. Covariance Structure Models --
Appendix A: Programs and Packages --
Appendix B: Answers to Selected Exercises.
Responsibility: Brian S. Everitt, Graham Dunn.
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Abstract:

Applied Multivariate Data Analysis is an intermediate-level text ideal for students and research workers in the social and behavioural sciences.

After an introduction to data analysis and the statistical knowledge required to use the book, the authors go on to explain the analysis of complex data sets in detail. The up-to-date text includes modern techniques such as multidimensional scaling, cluster analysis, generalized linear models and structural equation models.

Special features include emphasis on using methods of data analysis as exploratory tools; importance of searching for patterns in data stressed and exemplified; and interpretation of the output from statistical software.

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