Nonparametric Statistical Methods

Author :
Publisher : John Wiley & Sons
Release Date :
ISBN 10 : 9781118553299
Pages : 848 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.5/5 (553 users download)


Download Nonparametric Statistical Methods by Myles Hollander PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods by Myles Hollander. This book is available in ePub and PDF format with a single click unlimited downloads. Praise for the Second Edition “This book should be an essential part of the personallibrary of every practicingstatistician.”—Technometrics Thoroughly revised and updated, the new edition of NonparametricStatistical Methods includes additional modern topics andprocedures, more practical data sets, and new problems fromreal-life situations. The book continues to emphasize theimportance of nonparametric methods as a significant branch ofmodern statistics and equips readers with the conceptual andtechnical skills necessary to select and apply the appropriateprocedures for any given situation. Written by leading statisticians, Nonparametric StatisticalMethods, Third Edition provides readers with crucialnonparametric techniques in a variety of settings, emphasizing theassumptions underlying the methods. The book provides an extensivearray of examples that clearly illustrate how to use nonparametricapproaches for handling one- or two-sample location and dispersionproblems, dichotomous data, and one-way and two-way layoutproblems. In addition, the Third Edition features: The use of the freely available R software to aid incomputation and simulation, including many new R programs writtenexplicitly 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 spacescience Nonparametric Statistical Methods, Third Edition is anexcellent reference for applied statisticians and practitioners whoseek a review of nonparametric methods and their relevantapplications. The book is also an ideal textbook forupper-undergraduate and first-year graduate courses in appliednonparametric statistics.


Nonparametric Statistical Methods Using R

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781439873434
Pages : 287 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.7/5 (873 users download)


Download Nonparametric Statistical Methods Using R by John Kloke PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods Using R by John Kloke. This book is available in ePub and PDF format with a single click unlimited downloads. A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.


Applied Nonparametric Statistical Methods, Fourth Edition

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781439894019
Pages : 544 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.9/5 (894 users download)


Download Applied Nonparametric Statistical Methods, Fourth Edition by Peter Sprent PDF/Ebook Free clicking on the below button will initiate the downloading process of Applied Nonparametric Statistical Methods, Fourth Edition by Peter Sprent. This book is available in ePub and PDF format with a single click unlimited downloads. While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications. Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.


Nonparametric Statistical Methods For Complete and Censored Data

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 1584883197
Pages : 384 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.8/5 (584 users download)


Download Nonparametric Statistical Methods For Complete and Censored Data by M.M. Desu PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods For Complete and Censored Data by M.M. Desu. This book is available in ePub and PDF format with a single click unlimited downloads. Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics. In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists. Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.


Nonparametric Statistics for Non-Statisticians

Author :
Publisher : John Wiley & Sons
Release Date :
ISBN 10 : 9781118211250
Pages : 264 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.1/5 (211 users download)


Download Nonparametric Statistics for Non-Statisticians by Gregory W. Corder PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistics for Non-Statisticians by Gregory W. Corder. This book is available in ePub and PDF format with a single click unlimited downloads. A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications.


Applied Nonparametric Statistical Methods

Author :
Publisher : Springer Science & Business Media
Release Date :
ISBN 10 : 9789400912236
Pages : 260 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.1/5 (912 users download)


Download Applied Nonparametric Statistical Methods by Peter Sprent PDF/Ebook Free clicking on the below button will initiate the downloading process of Applied Nonparametric Statistical Methods by Peter Sprent. This book is available in ePub and PDF format with a single click unlimited downloads. This book is a practical introduction to statistical techniques called nonpara metric methods. Using examples, we explain assumptions and demonstrate procedures; theory is kept to a minimum. We show how basic problems are tackled and try to clear up common misapprehensions so as to help both students of statistics meeting the methods for the first time and workers in other fields faced with data needing simple but informative analysis. An analogy between experimenters and car drivers describes our aim. Statistical analyses may be done by following a set of rules without understanding their logical basis, but this has dangers. It is like driving a car with no inkling ofhow the internal combustion engine, the gears, the ignition system, the brakes actually work. Understanding the rudiments helps one get better performance and makesdrivingsafer;appropriate gearchanges become a way to reduce engine stress, prolong engine life, improve fuel economy, minimize wear on brake linings. Knowing how to change the engine oil or replace worn sparking plugs is notessential for adriver, but it will reduce costs. Learning such basics will not make one a fully fledged mechanic, even less an automotive engineer; but it all contributes to more economical and safer driving, alertingone to the dangers ofbald tyres, aleakingexhaust, worn brake linings.


Applied Nonparametric Statistical Methods, Fourth Edition

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781584887010
Pages : 544 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.8/5 (887 users download)


Download Applied Nonparametric Statistical Methods, Fourth Edition by Peter Sprent PDF/Ebook Free clicking on the below button will initiate the downloading process of Applied Nonparametric Statistical Methods, Fourth Edition by Peter Sprent. This book is available in ePub and PDF format with a single click unlimited downloads. While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some relevant general statistical concepts and an introduction to basic ideas of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important modern developments, such as large sample methods and computer-intensive applications. Keeping mathematics to a minimum, this text introduces nonparametric methods to undergraduate students who are taking either mainstream statistics courses or statistics courses within other disciplines. By giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.


Robust Nonparametric Statistical Methods

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781439809099
Pages : 554 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.0/5 (89 users download)


Download Robust Nonparametric Statistical Methods by Thomas P. Hettmansperger PDF/Ebook Free clicking on the below button will initiate the downloading process of Robust Nonparametric Statistical Methods by Thomas P. Hettmansperger. This book is available in ePub and PDF format with a single click unlimited downloads. Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times series models, experimental designs, and mixed models. It follows the approach of the first edition by developing rank-based m


Nonparametric Statistical Methods Using R

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781439873441
Pages : 287 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.7/5 (873 users download)


Download Nonparametric Statistical Methods Using R by John Kloke PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods Using R by John Kloke. This book is available in ePub and PDF format with a single click unlimited downloads. A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The authors emphasize applications and statistical computation. They illustrate the methods with many real and simulated data examples using R, including the packages Rfit and npsm. The book first gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems, procedures for regression models, computation for general fixed-effects ANOVA and ANCOVA models, and time-to-event analyses. The last two chapters cover more advanced material, including high breakdown fits for general regression models and rank-based inference for cluster correlated data. The book can be used as a primary text or supplement in a course on applied nonparametric or robust procedures and as a reference for researchers who need to implement nonparametric and rank-based methods in practice. Through numerous examples, it shows readers how to apply these methods using R.


Nonparametric Statistical Methods and Related Topics

Author :
Publisher : World Scientific
Release Date :
ISBN 10 : 9789814366564
Pages : 466 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.6/5 (366 users download)


Download Nonparametric Statistical Methods and Related Topics by Francisco J. Samaniego PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods and Related Topics by Francisco J. Samaniego. This book is available in ePub and PDF format with a single click unlimited downloads. This volume consists of 22 research papers by leading researchers in Probability and Statistics. Many of the papers are focused on themes that Professor Bhattacharya has published on research. Topics of special interest include nonparametric inference, nonparametric curve fitting, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory. This volume presents state-of-the-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic theory. It will serve as a valuable reference to the statistics research community as well as to practitioners who utilize methodology in these areas of emphasis.


Nonparametric Statistical Methods For Complete and Censored Data

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781482285895
Pages : 384 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.8/5 (285 users download)


Download Nonparametric Statistical Methods For Complete and Censored Data by M.M. Desu PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods For Complete and Censored Data by M.M. Desu. This book is available in ePub and PDF format with a single click unlimited downloads. Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics. In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists. Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.


Robustness of Statistical Methods and Nonparametric Statistics

Author :
Publisher : Springer Science & Business Media
Release Date :
ISBN 10 : 9789400965287
Pages : 176 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.6/5 (965 users download)


Download Robustness of Statistical Methods and Nonparametric Statistics by Dieter Rasch PDF/Ebook Free clicking on the below button will initiate the downloading process of Robustness of Statistical Methods and Nonparametric Statistics by Dieter Rasch. This book is available in ePub and PDF format with a single click unlimited downloads. This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics held in the castle oj'Schwerin, Mai 29 - June 4 1983. This conference was organized by the Mathematical Society of the GDR in cooperation with the Society of Physical and Mathematical Biology of the GDR, the GDR-Region of the International Biometric Society and the Academy of Agricultural Sciences of the GDR. All papers included were thoroughly reviewed by scientist listed under the heading "Editorial Collabora tories·'. Some contributions, we are sorry to report, were not recommended for publi cation by the rf'vif'wers and do not appear in these proceedings. The editors thank the reviewers for their valuable comments and suggestions. The conference was organizf'd bv a Programme Committee, its chairman was Prof. Dr. Dieter Rasch (Research Centre of Animal Production, Dummerstorf-Rostock). The members of the Programme Committee were Prof. Dr., Johannes Adam (Martin-Luther-University Halle) Prof. Dr. Heinz Ahrens (Academy of Sciences of the GDR, Berlin) Doz. Dr. Jana Jureckova (Charles University Praha) Prof. Dr. Moti Lal Tiku (McMaster University, Hamilton, Ontario) The aim of the conference was to discuss several aspects of robustness but mainly to present new results regarding the robustness of classical statistical methods especially tests, confidence estimations, and selection procedures, and to compare their perfor mance with nonparametric procedures. Robustness in this sens~ is understood as intensivity against. violation of the normal assumption.


Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

Author :
Publisher : CRC Press
Release Date :
ISBN 10 : 9781000083279
Pages : 1928 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.8/5 (83 users download)


Download Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition by David J. Sheskin PDF/Ebook Free clicking on the below button will initiate the downloading process of Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition by David J. Sheskin. This book is available in ePub and PDF format with a single click unlimited downloads. Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th


Nonparametric Statistical Methods

Author :
Publisher : Wiley-Interscience
Release Date :
ISBN 10 : 111862548X
Pages : 503 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.1/5 (118 users download)


Download Nonparametric Statistical Methods by Myles Hollander PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistical Methods by Myles Hollander. This book is available in ePub and PDF format with a single click unlimited downloads. Preliminares; The dichotomous data problem; A binomial test; an estimator for the probability of success; A confidence internal for the probability of success; The one-sample location problem; A distrbution-Free signed rank test; An estimator associated with wilcoxon's signed rank statistic.


Robustness of Statistical Methods and Nonparametric Statistics

Author :
Publisher : Springer
Release Date :
ISBN 10 : 9400965303
Pages : 176 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.0/5 (4 users download)


Download Robustness of Statistical Methods and Nonparametric Statistics by Dieter Rasch PDF/Ebook Free clicking on the below button will initiate the downloading process of Robustness of Statistical Methods and Nonparametric Statistics by Dieter Rasch. This book is available in ePub and PDF format with a single click unlimited downloads. This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics held in the castle oj'Schwerin, Mai 29 - June 4 1983. This conference was organized by the Mathematical Society of the GDR in cooperation with the Society of Physical and Mathematical Biology of the GDR, the GDR-Region of the International Biometric Society and the Academy of Agricultural Sciences of the GDR. All papers included were thoroughly reviewed by scientist listed under the heading "Editorial Collabora tories·'. Some contributions, we are sorry to report, were not recommended for publi cation by the rf'vif'wers and do not appear in these proceedings. The editors thank the reviewers for their valuable comments and suggestions. The conference was organizf'd bv a Programme Committee, its chairman was Prof. Dr. Dieter Rasch (Research Centre of Animal Production, Dummerstorf-Rostock). The members of the Programme Committee were Prof. Dr. ,Johannes Adam (Martin-Luther-University Halle) Prof. Dr. Heinz Ahrens (Academy of Sciences of the GDR, Berlin) Doz. Dr. Jana Jureckova (Charles University Praha) Prof. Dr. Moti Lal Tiku (McMaster University, Hamilton, Ontario) The aim of the conference was to discuss several aspects of robustness but mainly to present new results regarding the robustness of classical statistical methods especially tests, confidence estimations, and selection procedures, and to compare their perfor mance with nonparametric procedures. Robustness in this sens~ is understood as intensivity against. violation of the normal assumption.


Nonparametric Statistics

Author :
Publisher : John Wiley & Sons
Release Date :
ISBN 10 : 9781118840313
Pages : 288 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.4/5 (84 users download)


Download Nonparametric Statistics by Gregory W. Corder PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametric Statistics by Gregory W. Corder. This book is available in ePub and PDF format with a single click unlimited downloads. “…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." –CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS® (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.


Nonparametrics

Author :
Publisher : Springer Verlag
Release Date :
ISBN 10 : UCSC:32106019175378
Pages : 463 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4./5 ( users download)


Download Nonparametrics by Erich L. Lehmann PDF/Ebook Free clicking on the below button will initiate the downloading process of Nonparametrics by Erich L. Lehmann. This book is available in ePub and PDF format with a single click unlimited downloads. This reprint of a classic reference describes rank tests and estimating procedures derived from them, and gives an account of their properties. All the tests discussed here are now available in a variety of statistical software packages.


Popular Ebook