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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

Statistics: An Introduction Using R, 2nd Edition

Statistics: An Introduction Using R, 2nd Edition

Statistics: An Introduction Using R, 2 edition by Michael J. Crawley
English | 2014 | ISBN: 1118941098 | 336 pages | PDF | 5 MB

A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R.
This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.



Author: caotungnam / Date: 16-09-2014, 00:03 / 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

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

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

Foundations and Methods of Stochastic Simulation: A First Course

Foundations and Methods of Stochastic Simulation: A First Course

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science) by Barry Nelson
English | ISBN: 1461461596 | 2013 | PDF | 284 pages | 1,7 MB

This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works.



Author: art_links / Date: 8-08-2014, 00:39 / Comments: 0