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OCoLC |
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180201s2018 xx 049 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
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|d UMI
|d OCLCF
|d S9I
|d UAB
|d OCLCQ
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|a (OCoLC)1021185729
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|a CL0500000936
|b Safari Books Online
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|a QA278.2
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|a UAMI
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|a Grogan, Michael,
|e speaker.
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1 |
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|a Regression analysis and hypothesis testing in R :
|b inferring business relationships /
|c with Michael Grogan.
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264 |
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1 |
|a [Place of publication not identified] :
|b O'Reilly,
|c [2018]
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300 |
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|a 1 online resource (1 streaming video file (48 min., 42 sec.))
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336 |
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a data file
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|a Videorecording
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500 |
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|a Title from title screen (viewed February 1, 2018).
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500 |
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|a Release date from resource description page (Safari, viewed February 1, 2018).
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|a Presenter, Michael Grogan.
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520 |
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|a "Learn from data science expert Michael Grogan in this tutorial that teaches you how to use regression analysis and R to uncover high-value business insights hidden inside large datasets. The course reviews the meaning of regression analysis; shows you how to use R to conduct regression analysis techniques on cross-sectional and time series datasets; discusses standard regression techniques such as Ordinary Least Squares (OLS) and Logistic Regressions; and surveys the various violations of OLS and how these can be corrected. By the end of the course, you'll understand the theory behind regression analysis and how to put this theory into practice. Learners should have a basic understanding of statistics, familiarity with data types (i.e., nominal, ordinal, interval, and scale), and preferably some prior experience with R."--Resource description page
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
|
0 |
|a Regression analysis.
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650 |
|
0 |
|a Statistical hypothesis testing.
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650 |
|
0 |
|a Econometric models.
|
650 |
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2 |
|a Regression Analysis
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650 |
|
6 |
|a Analyse de régression.
|
650 |
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6 |
|a Tests d'hypothèses (Statistique)
|
650 |
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6 |
|a Modèles économétriques.
|
650 |
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7 |
|a Econometric models.
|2 fast
|0 (OCoLC)fst00901567
|
650 |
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7 |
|a Regression analysis.
|2 fast
|0 (OCoLC)fst01432090
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650 |
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7 |
|a Statistical hypothesis testing.
|2 fast
|0 (OCoLC)fst01132063
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856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9781492028550/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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