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JMP 11 specialized models /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
SAS Institute,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a JMP 11 specialized models / |c SAS Institute. |
| 246 | 1 | 4 | |a Specialized models : |b JMP 11 |
| 246 | 3 | |a JMP eleven specialized models | |
| 260 | |a [Place of publication not identified] : |b SAS Institute, |c 2013. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 347 | |a text file | ||
| 588 | 0 | |a Online resource; title from resource description page (Safari, viewed December 10, 2013). | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a Annotation |b JMP 11 Specialized Models provides details about modeling techniques such as partitioning, neural networks, nonlinear regression, and time series analysis. Topics include the Gaussian platform, which is useful in analyzing computer simulation experiments. The book also covers the Response Screening platform, which is useful in testing the effect of a predictor when you have many responses. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a JMP (Computer file) |
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| 650 | 0 | |a Mathematical models |x Data processing. | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
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| 650 | 6 | |a Statistique mathématique |x Informatique. | |
| 650 | 7 | |a MATHEMATICS |x General. |2 bisacsh | |
| 650 | 7 | |a Mathematical models |x Data processing. |2 fast |0 (OCoLC)fst01012087 | |
| 650 | 7 | |a Mathematical statistics |x Data processing. |2 fast |0 (OCoLC)fst01012133 | |
| 710 | 2 | |a SAS Institute. | |
| 776 | 0 | 8 | |i Print version: |t JMP 11 specialized models. |d [S.l.] : SAS Institute, 2013 |z 9781612906683 |w (OCoLC)858897017 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781612906836/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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