Posted by **ParRus** at Nov. 13, 2016

University of Washington with J. Nathan Kutz

WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps

AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.

Posted by **BUGSY** at Aug. 31, 2015

English | Jan. 2, 2013 | ISBN: 1441977864, 1461427495 | 662 Pages | PDF | 11 MB

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises…

Posted by **ChrisRedfield** at May 29, 2015

Published: 2010-11-17 | ISBN: 1441977864, 1461427495 | PDF | 638 pages | 11.4 MB

Posted by **FenixN** at May 13, 2015

29xHDRip | WMV/WMV3, ~459 kb/s | 640x480 | Duration: 22:04:43 | English: WMA, 32 kb/s (1 ch) | 4.57 GB

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.

Posted by **Underaglassmoon** at May 11, 2015

Springer | Mathematics | April 22 2015 | ISBN-10: 1493926136 | 719 pages | pdf | 13.19 mb

by David Ruppert (Author), David S. Matteson (Author)

Posted by **interes** at Nov. 11, 2014

English | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis.

Posted by **ChrisRedfield** at Sept. 9, 2014

Published: 2001-07-06 | ISBN: 0471416568 | PDF + DJVU | 296 pages | 31 MB

Posted by **interes** at Oct. 7, 2012

English | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.

Posted by **tot167** at Dec. 18, 2011

C R C | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Posted by **harrynyc** at Oct. 31, 2011

CRC Press | ISBN : 1439825688 | 2010 | 509 pages | PDF | 6MB

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.