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JMP version 13 design of experiments guide.
The JMP 13 Design of Experiments Guide covers classic DOE designs (for example, full factorial, response surface, and mixture designs). Read about more flexible custom designs, which you generate to fit your particular experimental situation. And discover JMP’s definitive screening designs, an ef...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
JMP, a business unit of SAS,
[2017]
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a JMP version 13 design of experiments guide. |
| 246 | 3 | |a JMP 13 design of experiments guide | |
| 246 | 3 | 0 | |a Design of experiments guide |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Cary, NC : |b JMP, a business unit of SAS, |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (viewed March 16, 2017). | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a The JMP 13 Design of Experiments Guide covers classic DOE designs (for example, full factorial, response surface, and mixture designs). Read about more flexible custom designs, which you generate to fit your particular experimental situation. And discover JMP’s definitive screening designs, an efficient way to identify important factor interactions using fewer runs than required by traditional designs. The book also provides guidance on determining an appropriate sample size for your study. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a JMP (Computer file) |
| 630 | 0 | 7 | |a JMP (Computer file) |2 fast |
| 650 | 0 | |a Statistics |x Graphic methods. | |
| 650 | 0 | |a Mathematical statistics |x Data processing. | |
| 650 | 0 | |a Information visualization. | |
| 650 | 0 | |a Mathematical analysis. | |
| 650 | 6 | |a Statistique |x Méthodes graphiques. | |
| 650 | 6 | |a Statistique mathématique |x Informatique. | |
| 650 | 6 | |a Visualisation de l'information. | |
| 650 | 6 | |a Analyse mathématique. | |
| 650 | 7 | |a Information visualization |2 fast | |
| 650 | 7 | |a Mathematical analysis |2 fast | |
| 650 | 7 | |a Mathematical statistics |x Data processing |2 fast | |
| 650 | 7 | |a Statistics |x Graphic methods |2 fast | |
| 710 | 2 | |a SAS Institute, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |t JMP version 13 design of experiments guide. |b Second edition. |d Cary, North Carolina : SAS Institute, 2017 |z 9781629609430 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781629609454/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||