Posted by **AvaxGenius** at April 25, 2017

English | PDF | 2017 | 567 Pages | ISBN : 3319524518 | 16.84 MB

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.

Posted by **ksveta6** at April 23, 2017

2017 | ISBN: 0198787839, 0198787847 | English | 240 pages | PDF | 6 MB

Posted by **hill0** at April 17, 2017

English | 9 July 2013 | ISBN: 3642368085 | 276 Pages | PDF | 3.86 MB

This book covers statistical analysis of compositional data sets from basic principles to applications in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods. Offers many illustrated examples and code chunks.

Posted by **naag** at April 14, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 31 | 988 MB

Become Proficient In Spatial Data Analysis Using R & QGIS By Working On A Real Project - Get A Job In Spatial Data!

Posted by **AlenMiler** at April 12, 2017

English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB

Posted by **naag** at April 11, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 13 Hours | 4.30 GB

Learn to use R software to conduct PCAs, MDSs, cluster analyses, EFAs and to estimate SEM models.

Posted by **naag** at April 10, 2017

MP4 | AVC 426kbps | English | 1024x768 | 15fps | 2h 29mins | AAC stereo 79kbps | 422 MB

Posted by **readerXXI** at April 10, 2017

English | 2015 | ISBN: 178398452X | 397 Pages | True PDF | 4.25 MB

Master machine learning techniques with R to deliver insights for complex projects.

Posted by **readerXXI** at April 10, 2017

English | 2015 | ISBN: 178398760X | 165 Pages | True PDF | 1.48 MB

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems.

Posted by **naag** at April 10, 2017

English | ISBN: 1785288148 | 2015 | MOBI/EPUB/PDF (True) | 446 pages | 28 MB