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Applied Nonparametric Statistics in Reliability
21 May 2013

Applied Nonparametric Statistics in Reliability
Applied Nonparametric Statistics in Reliability
English | ISBN: 0857291173 | 2011 | PDF | 244 pages | 4 MB

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet been fully explored.
Nonparametric Statistics: A Step-by-Step Approach, 2 edition
28 July 2014

Nonparametric Statistics: A Step-by-Step Approach, 2 edition

Nonparametric Statistics: A Step-by-Step Approach, 2 edition by Gregory W. Corder and Dale I. Foreman
English | 2014 | ISBN: 1118840313 | 288 pages | PDF | 9,7 MB

This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers.
Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics by Rolf-Dieter Reiss
22 May 2015

Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics by Rolf-Dieter Reiss

Approximate Distributions of Order Statistics: With Applications to Nonparametric Statistics (Springer Series in Statistics) by Rolf-Dieter Reiss
English | 1989 | ISBN: 1461396220 | 362 Pages | PDF | 9 MB

This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics that are relevant for statistical theory and its applications.
Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz
22 May 2015

Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz

Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz
English | Feb 25, 2011 | ISBN: 0857291173 | 239 Pages | PDF | 2 MB

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences...
Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz
22 May 2015

Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz

Applied Nonparametric Statistics in Reliability (Springer Series in Reliability Engineering) by M. Luz Gamiz
English | Feb 25, 2011 | ISBN: 0857291173 | 239 Pages | PDF | 2 MB

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences...
Asymptotic Efficiency of Nonparametric Tests
26 December 2010

Asymptotic Efficiency of Nonparametric Tests

Asymptotic Efficiency of Nonparametric Tests

1995 | 296 | ISBN: 0521470293 | DJVU | 2 Mb

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics where it is usually necessary to rely on heuristic tests. This monograph presents a unified treatment of the analysis and calculation of the asymptotic efficiencies of nonparametric tests. Powerful new methods are developed to evaluate explicitly different kinds of efficiencies. Of particular interest is the description of domains of the Bahadur local optimality and related characterization problems based on recent research by the author. Other Russian results are also published here for the first time in English. Researchers, professionals, and students in statistics will find this book invaluable. ...
Statistics II for Dummies
11 April 2012

Statistics II for Dummies

Statistics II for Dummies
2 Edition | 2009 | 413 Pages | ISBN: 0470466464 | PDF | 6.1 MB

Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics.

The fun and easy way to enhance your grasp of statistics. Statistics II For Dummies also provides plenty of test-taking strategies as well as real-world applications that make data analysis a snap, whether you're in the classroom or at work.
Nonparametric Statistical Methods, 3rd Edition
25 July 2014

Nonparametric Statistical Methods, 3rd Edition
Myles Hollander, Douglas A. Wolfe and Eric Chicke, "Nonparametric Statistical Methods, 3rd Edition"
English | ISBN: 0470387378 | 2014 | 848 pages | PDF | 7 MB

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.” — Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real–life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one– or two–sample location and dispersion problems, dichotomous data, and one–way and two–way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper–undergraduate and first–year graduate courses in applied nonparametric statistics.
Nonparametric Statistical Methods, 3rd Edition
26 July 2014

Nonparametric Statistical Methods, 3rd Edition
Myles Hollander, Douglas A. Wolfe and Eric Chicke, "Nonparametric Statistical Methods, 3rd Edition"
English | ISBN: 0470387378 | 2014 | 848 pages | PDF | 7 MB

Praise for the Second Edition "This book should be an essential part of the personal library of every practicing statistician." - Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.
Handbook of Parametric and Nonparametric Statistical Procedures (2nd Edition)
21 July 2014

Handbook of Parametric and Nonparametric Statistical Procedures (2nd Edition)
David Sheskin - Handbook of Parametric and Nonparametric Statistical Procedures (2nd Edition)
Published: 2000-02-24 | ISBN: 158488133X | PDF + DJVU | 1016 pages | 19 MB

Called the "bible of applied statistics," the first edition of the bestselling Handbook of Parametric and Nonparametric Statistical Procedures was unsurpassed in its scope. The Second Edition goes even further - more tests, more examples, more than 250 pages of new material.