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Advances in Multivariate Statistical Methods

Advances in Multivariate Statistical Methods
Ashis Sengupta, "Advances in Multivariate Statistical Methods "
2009 | ISBN-10: 9812838236 | 492 pages | PDF | 39 MB

This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc.



Author: mrkei / Date: 30-07-2014, 05:25 / Comments: 0

Statistical Analysis and Optimization for VLSI Timing and Power

Statistical Analysis and Optimization for VLSI Timing and Power
Statistical Analysis and Optimization for VLSI: Timing and Power
by Ashish Srivastava, Dennis Sylvester, David Blaauw
English | 2006 | ISBN: 0130586374, 0387257381 | 280 pages | PDF | 12.32 MB


Covers the statistical analysis and optimization issues arising due to increased process variations in current technologies.



Author: manhneovn / Date: 18-07-2014, 00:21 / Comments: 0

Performing Data Analysis Using IBM SPSS

Performing Data Analysis Using IBM SPSS

Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino, "Performing Data Analysis Using IBM SPSS"
ISBN: 1118357019 | 2013 | PDF | 736 pages | 50 MB

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSSŪ
Performing Data Analysis Using IBM SPSSŪ uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output.





Author: caotungnam / Date: 24-07-2014, 23:08 / Comments: 0

Statistical Analysis Techniques in Particle Physics Fits, Density Estimation and Supervised Learning

Statistical Analysis Techniques in Particle Physics Fits, Density Estimation and Supervised Learning
Statistical Analysis Techniques in Particle Physics: Fits, Density Estimation and Supervised Learning By Ilya Narsky, Frank C. Porter
2013 | 459 Pages | ISBN: 3527410864 | PDF | 8 MB

Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.



Author: mrkei / Date: 15-07-2014, 12:19 / Comments: 0