| Title : | Applied multivariate statistical analysis |
| Material Type: | printed text |
| Authors: | Richard A. Johnson, Author ; Dean W. Wichern, Author |
| Edition statement: | 6th edition |
| Publisher: | Upper Saddle River, N.J. : Pearson/Prentice Hall |
| Publication Date: | 2007 |
| Pagination: | xviii, 773 p. |
| Layout: | ill. |
| Size: | 25 cm |
| ISBN (or other code): | 978-0-13-187715-3 |
| General note: | Includes bibliographical references and indexes |
| Languages : | English (eng) Original Language : English (eng) |
| Descriptors: | Multivariate analysis
|
| Class number: | 519.5 |
| Abstract: | This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples. Offers an abundance of examples and exercises based on real data. Appropriate for experimental scientists in a variety of disciplines. |
| Contents note: | Aspects of multivariate analysis; Matrix algebra and random vectors; Sample geometry and random sampling; The multivariate normal distribution; Inferences about a mean vector; Comparisons of several multivariate means; Multivariate linear regression models; Principal components; Factor analysis and inference for structured covariance matrices; Canonical correlation analysis; Discrimination and classification; Clustering distance methods, and ordinationч |
| Record link: | https://library.seeu.edu.mk/index.php?lvl=notice_display&id=14012 |
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519.2 
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