Rencher Methods of Multivariate Analysis

Alvin C. Rencher, "Methods of Multivariate Analysis" (2nd edition)  eBooks & eLearning

Posted by Alexpal at Feb. 7, 2006

Alvin C. Rencher, "Methods of Multivariate Analysis" (2nd edition)
Wiley-Interscience | ISBN 0471418897 | 2002 Year | linked PNG-files | 40 Mb | 738 Pages

Methods of Multivariate Analysis, 2nd edition (repost)  eBooks & eLearning

Posted by fdts at Dec. 21, 2016
Methods of Multivariate Analysis, 2nd edition (repost)

Methods of Multivariate Analysis, 2nd edition (Wiley Series in Probability and Statistics)
by Alvin C. Rencher
English | 2002 | ISBN: 0471418897 | 738 pages | PDF | 3.28 MB

Methods of Multivariate Analysis, 3rd Edition (Repost)  eBooks & eLearning

Posted by nebulae at Oct. 22, 2015
Methods of Multivariate Analysis, 3rd Edition (Repost)

Alvin C. Rencher and William F. Christensen, "Methods of Multivariate Analysis, 3rd Edition"
English | 2012 | ISBN: 0470178965 | 800 pages | PDF | 16 MB

Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) [Repost]  eBooks & eLearning

Posted by JohnZulzman at Sept. 23, 2014
Methods of Multivariate Analysis (Wiley Series in Probability and Statistics) [Repost]

Methods of Multivariate Analysis (Wiley Series in Probability and Statistics)
Wiley-Interscience; 2 edition | ISBN: 0471418897 | 738 pages | PDF | March 7, 2002 | English | 38 Mb

Methods of Multivariate Analysis  eBooks & eLearning

Posted by interes at Aug. 3, 2013
Methods of Multivariate Analysis

Methods of Multivariate Analysis by Alvin C. Rencher and William F. Christensen
English | 2012 | ISBN: 0470178965 | 800 pages | PDF | 16 MB

Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations.

Exploring Hyperspace: Nonmathematical Explanation of Multivariate Analysis  eBooks & eLearning

Posted by roxul at Nov. 10, 2016
Exploring Hyperspace: Nonmathematical Explanation of Multivariate Analysis

Mick Alt, "Exploring Hyperspace: Nonmathematical Explanation of Multivariate Analysis"
English | ISBN: 007707338X | 1990 | 160 pages | PDF | 20 MB
RF Tunable Devices and Subsystems: Methods of Modeling, Analysis, and Applications (Repost)

Qizheng Gu, "RF Tunable Devices and Subsystems: Methods of Modeling, Analysis, and Applications"
English | 2014 | ISBN: 331909923X | PDF | pages: 365 | 21.5 mb

Methods of Nonlinear Analysis: Applications to Differential Equations  eBooks & eLearning

Posted by Jeembo at March 7, 2017
Methods of Nonlinear Analysis: Applications to Differential Equations

Methods of Nonlinear Analysis: Applications to Differential Equations by Pavel Drabek, Jaroslav Milota
English | 2007 | ISBN: 3764381469 | 580 Pages | PDF | 7.2 MB

In this book, the basic methods of nonlinear analysis are emphasized and illustrated in simple examples. Every considered method is motivated, explained in a general form but in the simplest possible abstract framework. Its applications are shown, particularly to boundary value problems for elementary ordinary or partial differential equations.

Geometrical Methods of Nonlinear Analysis  eBooks & eLearning

Posted by step778 at Aug. 18, 2016
Geometrical Methods of Nonlinear Analysis

Alexander Krasnosel'skii, P. P. Zabreiko, C. Fenske, "Geometrical Methods of Nonlinear Analysis"
1984 | pages: 434 | ISBN: 3540129456 | DJVU | 3,2 mb

Compression-Based Methods of Statistical Analysis and Prediction of Time Series  eBooks & eLearning

Posted by Underaglassmoon at May 25, 2016
Compression-Based Methods of Statistical Analysis and Prediction of Time Series

Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Springer | Security and Cryptology | June 20, 2016 | ISBN-10: 3319322516 | 145 pages | pdf | 2.51 mb

Authors: Ryabko, Boris, Astola, Jaakko, Malyutov, Mikhail
Useful for researchers and graduate students in information theory, coding, cryptography, statistics, and computational linguistics
Topics of foundational interest
Describes applications such as attacks on block ciphers and authorship attribution