Multiple Comparisons Using R

Multiple Comparisons Using R (repost)  eBooks & eLearning

Posted by interes at June 30, 2014
Multiple Comparisons Using R (repost)

Multiple Comparisons Using R by Frank Bretz, Torsten Hothorn and Peter Westfall
English | 2010 | ISBN: 1584885742 | 202 pages | PDF | 4 MB

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R.

Multiple Comparisons Using R (repost)  eBooks & eLearning

Posted by arundhati at Sept. 22, 2013
Multiple Comparisons Using R (repost)

Frank Bretz, Torsten Hothorn, "Multiple Comparisons Using R"
2010 | ISBN: 1584885742 | 202 pages | PDF | 4,1 MB

Multiple Comparisons Using R (Repost)  eBooks & eLearning

Posted by Specialselection at March 23, 2012
Multiple Comparisons Using R (Repost)

Frank Bretz, Torsten Hothorn, Peter Westfall, "Multiple Comparisons Using R"
English | 2010-07-27 | ISBN: 1584885742 | 202 pages | PDF | 2.9 mb

Clinical Trial Optimization Using R  eBooks & eLearning

Posted by interes at Oct. 15, 2017
Clinical Trial Optimization Using R

Clinical Trial Optimization Using R by Alex Dmitrienko and Erik Pulkstenis
English | 2017 | ISBN: 149873507X | 337 pages | PDF | 4,6 MB

Business Analytics Using R - A Practical Approach  eBooks & eLearning

Posted by AvaxGenius at Oct. 14, 2017
Business Analytics Using R - A Practical Approach

Business Analytics Using R - A Practical Approach By Umesh R. Hodeghatta, Umesh Nayak
English | EPUB | 2017 | 280 Pages | ISBN : 1484225139 | 5.88 MB

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics.

Machine Learning Using R  eBooks & eLearning

Posted by hill0 at Sept. 28, 2017
Machine Learning Using R

Machine Learning Using R by Karthik Ramasubramanian
English | 24 Dec. 2016 | ISBN: 1484223330 | 592 Pages | EPUB (True) | 5.26 MB

Examine the latest technological advancements in building a scalable machine learning model with Big Data using R. This book shows you how to work with a machine learning algorithm and use it to build a ML model from raw data.

Multiple Comparisons and Multiple Tests Using SAS, 2nd edition  eBooks & eLearning

Posted by enmoys at Nov. 10, 2014
Multiple Comparisons and Multiple Tests Using SAS, 2nd edition

Multiple Comparisons and Multiple Tests Using SAS, 2nd edition By Peter H. Westfall, Randall D. Tobias, Russell D. Wolfinger
2011 | 644 Pages | ISBN: 1607647834 | PDF | 6 MB
Applied Probabilistic Calculus for Assets Allocation and Portfolio Optimization in Financial Engineering Using R

Bertram K. Chan, "Applied Probabilistic Calculus for Assets Allocation and Portfolio Optimization in Financial Engineering Using R"
English | ISBN: 1119387612 | 2017 | 536 pages | PDF | 14 MB

Data Management and Preparation Using R  eBooks & eLearning

Posted by naag at Sept. 20, 2017
Data Management and Preparation Using R

Data Management and Preparation Using R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 313 MB
Genre: eLearning | Language: English

Data management and data preparation is a very important yet widely overlooked part of data analysis. Importing, selecting a proper class, cleaning, and filtering are all part of data preparation and will be taught in this course.

Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan  eBooks & eLearning

Posted by Grev27 at Aug. 29, 2017
Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan

Joseph M. Hilbe, Rafael S. de Souza, Emille E. O. Ishida, "Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan"
English | ISBN: 1107133084 | 2017 | EPUB | 408 pages | 6,4 MB