Screen LibraryMethods of multivariate analysis
When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the e...
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| Published: |
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| Literature type: | Electronic eBook |
| Language: | English |
| Edition: | 2nd ed. |
| Series: |
Wiley series in probability and mathematical statistics
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| Subjects: | |
| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/0471271357 |
| Summary: |
When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. |
| Item Description: | "A Wiley-Interscience publication." |
| Carrier Form: | 1 online resource (xxii, 708 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780471271352 0471271357 0471461725 9780471461722 |
| Index Number: | QA278 |
| CLC: | O212.4 |
| Contents: | Matrix algebra -- Characterizing and displaying multivariate data -- The multivariate normal distribution -- Tests on one or two mean vectors -- Multivariate analysis of variance -- Tests on covariance matrices -- Discriminant analysis : description of group separation -- Classification analysis : allocation of observations to groups -- Multivariate regression -- Canonical correlation -- Principal component analysis -- Factor analysis -- Cluster analysis -- Graphical procedures. |