JMP version 13 multivariate methods
JMP 13 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal c...
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| Format: | eBook |
| Language: | Inglés |
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Cary, NC :
JMP, a business unit of SAS
[2016]
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631367006719 |
| Summary: | JMP 13 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares. |
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| Physical Description: | 1 online resource (1 volume) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
