Engineering Data Analysis

Coursera - Computational Methods for Data Analysis  eBooks & eLearning

Posted by ParRus at Nov. 13, 2016
Coursera - Computational Methods for Data Analysis

Coursera - Computational Methods for Data Analysis
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
Genre: eLearning Video / Data Analysis

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.
Statistics and Data Analysis for Financial Engineering by David Ruppert [Repost]

Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics) by David Ruppert
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…

Statistics and Data Analysis for Financial Engineering  

Posted by ChrisRedfield at May 29, 2015
Statistics and Data Analysis for Financial Engineering

David Ruppert - Statistics and Data Analysis for Financial Engineering
Published: 2010-11-17 | ISBN: 1441977864, 1461427495 | PDF | 638 pages | 11.4 MB

Applied Math 582: Computational Methods for Data Analysis  eBooks & eLearning

Posted by FenixN at May 13, 2015
Applied Math 582: Computational Methods for Data Analysis

Applied Math 582: Computational Methods for Data Analysis
29xHDRip | WMV/WMV3, ~459 kb/s | 640x480 | Duration: 22:04:43 | English: WMA, 32 kb/s (1 ch) | 4.57 GB
Genre: Science, Mathematics

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.
Statistics and Data Analysis for Financial Engineering: with R examples

Statistics and Data Analysis for Financial Engineering: with R examples
Springer | Mathematics | April 22 2015 | ISBN-10: 1493926136 | 719 pages | pdf | 13.19 mb

by David Ruppert (Author), David S. Matteson (Author)
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition by Patrick F. Dunn
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.
Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

Olaf Wolkenhauer - Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis
Published: 2001-07-06 | ISBN: 0471416568 | PDF + DJVU | 296 pages | 31 MB
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Patrick F. Dunn, "Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition"
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.
Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition (repost)

Patrick F. Dunn, "Measurement, Data Analysis, and Sensor Fundamentals for Engineering and Science, 2nd Edition"
C R C | 2010-01-05 | ISBN: 1439825688 | 504 pages | PDF | 5,5 MB

Measurement and Data Analysis for Engineering and Science (2nd Edition)  eBooks & eLearning

Posted by harrynyc at Oct. 31, 2011
Measurement and Data Analysis for Engineering and Science (2nd Edition)

Measurement and Data Analysis for Engineering and Science (2nd Edition) by Patrick F. Dunn
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.