Showing posts with label Statistical. Show all posts
Showing posts with label Statistical. Show all posts

Monday, September 21, 2015

Information Criteria and Statistical Modeling (Springer Series in Statistics) [Repost]




Information Criteria and Statistical Modeling (Springer Series in Statistics) by Genshiro Kitagawa


English | Oct. 12, 2007 | ISBN: 0387718869 | 276 Pages | PDF | 4.03 MB




Statistical modeling is a critical tool in scientific research. This book provides comprehensive explanations of the concepts and philosophy of statistical modeling, together with a wide range of practical and numerical examples. The authors expect this work to be of great value not just to statisticians but also to researchers and practitioners in various fields of research such as information science, computer science, engineering, bioinformatics, economics, marketing and environmental science. It’s a crucial area of study, as statistical models are used to understand phenomena with uncertainty and to determine the structure of complex systems. They’re also used to control such systems, as well as to make reliable predictions in various natural and social science fields.








Thursday, September 17, 2015

Statistical Mechanics of Phase Transitions (Oxford Science Publications) by J. M. Yeomans




Statistical Mechanics of Phase Transitions (Oxford Science Publications) by J. M. Yeomans


English | June 25, 1992 | ISBN: 0198517297, 0198517300 | 161 Pages | DJVU | 1 MB




Recent developments have led to a good understanding of universality: why phase transitions in systems as diverse as magnets, fluids, liquid crystals, and superconductors can be brought under the same theoretical umbrella and accurately described by simple models. This book describes the physics underlying universality and then lays out the theoretical approaches now available for studying phase transitions. Traditional techniques, mean-field theory, series expansions, and the transfer matrix, are described; the Monte Carlo method is covered; and two chapters are devoted to the renormalization group which led to a breakthrough in the field.










Monday, September 14, 2015

Statistical Methods for Hospital Monitoring with R by Anthony Morton




Statistical Methods for Hospital Monitoring with R by Anthony Morton


English | Sep. 10, 2013 | ISBN: 1118596307 | 428 Pages | PDF | 3 MB




Hospitals monitoring is becoming more complex and is increasing both because staff want their data analysed and because of increasing mandated surveillance. This book provides a suite of functions in R, enabling scientists and data analysts working in infection management and quality improvement departments in hospitals, to analyse their often non-independent data which is frequently in the form of trended, over-dispersed and sometimes auto-correlated time series; this is often difficult to analyse using standard office software.












Statistical Methods for the Assessment of Point Source Pollution by D.T. Chapman




Statistical Methods for the Assessment of Point Source Pollution: Proceedings of a Workshop on Statistical Methods for the Assessment of Point Source Pollution, held in Burlington, Ontario, Canada by D.T. Chapman


English | 1989 | ISBN: 9401073767 | 362 Pages | PDF | 6 MB




This book contains the proceedings of a workshop, "Statistical Methods for the Assess­ ment of Point Source Pollution", held September 12-14, 1988, at the Canada Centre for Inland Waters in Burlington, Ontario, Canada. The objectives of the workshop were to: a) advance the art, science, and application of statistical methods to current water quality issues by stimulating discussions and disseminating ideas and information.












Statistical Methods for Industrial Process Control by David Drain




Statistical Methods for Industrial Process Control by David Drain


English | 1997 | ISBN: 1461368308 | 467 Pages | PDF | 11 MB




Statistical Methods for Industrial Process Control was written to provide working engineers and engineering students with the statistical tools they must understand to practice engineering effectively. Statistical principles are illus­ trated with authentic semiconductor manufacturing processes examples-a prac­ tice that enables experienced engineers to build upon existing knowledge to leam new skills, and that introduces students to a fascinating industry. Integrated circuit fabrication is an exceeding rich medium for communicating statistical concepts: the industry must perform to extraordinary tolerances­ controlling film thickness to within 5 A, for example.












Statistical Methods for Organizational Research: Theory and Practice by Chris Dewberry




Statistical Methods for Organizational Research: Theory and Practice by Chris Dewberry


English | Aug. 26, 2004 | ISBN: 0415334241, 041533425X | 365 Pages | PDF | 8 MB




This clearly written textbook clarifies the concepts underpinning descriptive and inferential statistics in organizational research. Acting as much more than a theoretical reference tool, step-by-step it guides readers through the various key stages of successful data analysis.


Covering everything from introductory descriptive statistics to advanced inferential techniques such as ANOVA, multiple and logistic regression and factor analysis, this is one of the most comprehensive textbooks available.












Saturday, September 12, 2015

Nonextensive Statistical Mechanics and Its Applications (repost)




Nonextensive Statistical Mechanics and Its Applications (Lecture Notes in Physics) by Sumiyoshi Abe and Yuko Okamoto


English | 2001-03-26 | ISBN: 3540412085, 3642074448 | PDF | 278 pages | 1,9 MB

Statistical Multiple Integration: Proceedings of a Joint Summer Research Conference Held... by Nancy Flournoy




Statistical Multiple Integration: Proceedings of a Joint Summer Research Conference Held at Humboldt University, June 17-23, 1989 (Contemporary Mathematics) by Nancy Flournoy


English | June 1991 | ISBN: 0821851225 | 289 Pages | DJVU | 2 MB




High dimensional integration arises naturally in two major subfields of statistics: multivariate and Bayesian statistics. Indeed, the most common measures of central tendency, variation, and loss are defined by integrals over the sample space, the parameter space, or both. Recent advances in computational power have stimulated significant new advances in both Bayesian and classical multivariate statistics. In many statistical problems, however, multiple integration can be the major obstacle to solutions.This volume contains the proceedings of an AMS-IMS-SIAM Joint Summer Research Conference on Statistical Multiple Integration, held in June 1989 at Humboldt State University in Arcata, California.










Wednesday, September 9, 2015

Statistical Design of Experiments with Engineering Applications




Kamel Rekab, Muzaffar Shaikh, "Statistical Design of Experiments with Engineering Applications"


2005 | ISBN-10: 1574446258 | 272 pages | PDF | 2 MB




In today"s high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts.




The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi"s method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.









Statistical Mechanics by Shang-Keng Ma




Statistical Mechanics by Shang-Keng Ma


English | 5 Jan. 1985 | ISBN: 9971966069, 9971966077 | 578 Pages | PDF | 18 MB




This is a unique and exciting graduate and advanced undergraduate text written by a highly respected physicist who had made significant contributions to the subject. This book conveys to the reader that statistical mechanics is a growing and lively subject. It deals with many modern topics from a physics standpoint in a very physical way.