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170317s2017 ncua ob 001 0 eng d |
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|a 9781629609522
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|a 1629609528
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|a 9781629609539
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|a 9781629609546
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|z 9781629609553
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|z 9781629609546
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|a GBVCP
|b 897168097
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|a (OCoLC)976407922
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|a CL0500000840
|b Safari Books Online
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|a QA279
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|a [E]
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|a UAMI
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|a JMP version 13 fitting linear models /
|c SAS Institute.
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|a Fitting linear models
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3 |
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|a JMP 13 fitting linear models
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250 |
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|a Second edition.
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264 |
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1 |
|a Cary, NC :
|b JMP, a business unit of SAS,
|c [2017]
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|c ©2017
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300 |
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|a 1 online resource (1 volume) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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0 |
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|a Online resource; title from title page (viewed March 17, 2017).
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|a JMP 13 Fitting Linear Models focuses on the Fit Model platform and many of its personalities. Linear and logistic regression, analysis of variance and covariance, and stepwise procedures are covered. Also included are multivariate analysis of variance, mixed models, generalized models, and models based on penalized regression techniques.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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630 |
0 |
0 |
|a JMP (Computer file)
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630 |
0 |
7 |
|a JMP (Computer file)
|2 fast
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650 |
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0 |
|a Linear models (Statistics)
|x Data processing.
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650 |
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0 |
|a Regression analysis
|x Data processing.
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650 |
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|a Multivariate analysis
|x Data processing.
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650 |
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0 |
|a Mathematical statistics
|x Data processing.
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650 |
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6 |
|a Analyse de régression
|x Informatique.
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650 |
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6 |
|a Analyse multivariée
|x Informatique.
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650 |
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6 |
|a Statistique mathématique
|x Informatique.
|
650 |
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7 |
|a Linear models (Statistics)
|x Data processing
|2 fast
|
650 |
|
7 |
|a Mathematical statistics
|x Data processing
|2 fast
|
650 |
|
7 |
|a Multivariate analysis
|x Data processing
|2 fast
|
650 |
|
7 |
|a Regression analysis
|x Data processing
|2 fast
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710 |
2 |
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|a SAS Institute,
|e publisher.
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776 |
0 |
8 |
|i Print version:
|t JMP version 13 fitting linear models.
|b Second edition.
|d Cary, North Carolina : SAS Institute, 2017
|z 9781629609553
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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781629609522/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|