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160923s2016 ncua ob 001 0 eng d |
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|a 9781629605623
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|a 162960562X
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|a JMP 13 design of experiments guide.
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|a Design of experiments guide
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|a Cary, NC :
|b SAS Institute,
|c [2016]
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|c ©2016
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
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|a Online resource; title from title page (viewed September 22, 2016).
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|a Includes bibliographical references and index.
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520 |
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|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.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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630 |
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|a JMP (Computer file)
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630 |
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|a JMP (Computer file)
|2 fast
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650 |
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|a Statistics
|x Graphic methods.
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650 |
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|a Mathematical statistics
|x Data processing.
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650 |
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|a Information visualization.
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|a Mathematical analysis.
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|a Statistique
|x Méthodes graphiques.
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650 |
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6 |
|a Statistique mathématique
|x Informatique.
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650 |
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|a Visualisation de l'information.
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650 |
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6 |
|a Analyse mathématique.
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650 |
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7 |
|a MATHEMATICS
|x Applied.
|2 bisacsh
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650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
|
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
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710 |
2 |
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|a SAS Institute,
|e issuing body.
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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781629605623/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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|a EBSCOhost
|b EBSC
|n 1366063
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994 |
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|a 92
|b IZTAP
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