Practical Nonparametric Statistics 3rd Ed

Practical Nonparametric Statistics 3Rd Ed PDF
Author: Conover
Publisher: John Wiley & Sons
ISBN: 9788126507757
Size: 23.68 MB
Format: PDF, ePub
Category :
Languages : en
Pages : 596
View: 2731

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This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.· Probability Theory· Statistical Inference· Some Tests Based on the Binomial Distribution· Contingency Tables· Some Methods Based on Ranks· Statistics of the Kolmogorov-Smirnov Type

Practical Nonparametric Statistics

Practical Nonparametric Statistics PDF
Author: W. J. Conover
Publisher: John Wiley & Sons
ISBN: 0471160687
Size: 20.21 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 608
View: 3761

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This highly-regarded text serves as a quick reference book which offers clear, concise instructions on how and when to use the most popular nonparametric procedures. This edition features some procedures that have withstood the test of time and are now used by many practitioners, such as the Fisher Exact Test for two-by-two contingency tables, the Mantel-Haenszel Test for combining several contingency tables, the Kaplan-Meier estimates of the survival curve, the Jonckheere-Terpstra Test and the Page Test for ordered alternatives, and a discussion of the bootstrap method.

Practical Nonparametric And Semiparametric Bayesian Statistics

Practical Nonparametric and Semiparametric Bayesian Statistics PDF
Author: Dipak D. Dey
Publisher: Springer
ISBN: 0387985174
Size: 28.17 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 392
View: 1606

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A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

Nonparametric Statistics For Non Statisticians

Nonparametric Statistics for Non Statisticians PDF
Author: Gregory W. Corder
Publisher: John Wiley & Sons
ISBN: 1118211251
Size: 47.69 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 264
View: 7609

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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.

Nonparametric Statistical Methods

Nonparametric Statistical Methods PDF
Author: Myles Hollander
Publisher: John Wiley & Sons
ISBN: 1118553292
Size: 10.71 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 848
View: 7750

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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.

Using Statistical Methods In Social Science Research

Using Statistical Methods in Social Science Research PDF
Author: SOLEMAN H. ABU-BADER
Publisher: Oxford University Press, USA
ISBN: 0197522432
Size: 38.84 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 544
View: 5234

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Using Statistical Methods in Social Science Research, Third Edition is the user-friendly text every student needs for analyzing and making sense of quantitative data. With over 20 years of experience teaching statistics, Soleman H. Abu-Bader provides an accessible, step-by-step description of the process needed to organize data, choose a test or statistical technique, analyze, interpret, and report research findings. The book begins with an overview of research and statistical terms, followed by an explanation of basic descriptive statistics. It then focuses on the purpose, rationale, and assumptions made by each test, such as Pearson's correlation, student's t-tests, analysis of variances, and simple linear regression, among others. The book also provides a wealth of research examples that clearly display the applicability and function of these tests in real-world practice. In a separate appendix, the author provides a step-by-step process for calculating each test for those who still like to understand the mathematical formulas behind these processes.

Proceedings

Proceedings PDF
Author:
Publisher:
ISBN:
Size: 73.94 MB
Format: PDF, ePub
Category : Experimental design
Languages : en
Pages :
View: 901

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Handbook Of Parametric And Nonparametric Statistical Procedures

Handbook of Parametric and Nonparametric Statistical Procedures PDF
Author: David J. Sheskin
Publisher: Chapman and Hall/CRC
ISBN: 9781584881339
Size: 40.99 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 1016
View: 4837

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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. Thorough - Up-To-Date With details of more than 100 statistical procedures, the Handbook offers unparalleled coverage of modern statistical methods. You get in-depth discussion of both practical and theoretical issues, many of which are not addressed in conventional statistics books. Practical - User-Friendly Accessible to novices but valuable to seasoned researchers, the Handbook emphasizes application over theory and presents the procedures in a standardized format that makes it easy to access the information you need. If you have to Ø Decide what method of analysis to use Ø Use a particular test for the first time Ø Distinguish acceptable from unacceptable research Ø Interpret the results of published studies the Handbook of Parametric and Nonparametric Statistical Procedures has the background, the answers, and the guidelines to get the job done.

Introduction To The Theory Of Nonparametric Statistics

Introduction to the theory of nonparametric statistics PDF
Author: Ronald H. Randles
Publisher: John Wiley & Sons
ISBN:
Size: 48.23 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 450
View: 6190

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An intermediate text that provides a basic understanding of concepts and theory, presenting important mathematical statistics tools fundamental to the development of nonparametric statistics. Uses an intuitive approach emphasizing techniques for making a test distribution-free (such as counting and ranking). U-statistics, asymptotic efficiency, the Hodges-Lehmann technique for creating a confidence interval and a point estimator from a test, linear rank statistics, and more. Also includes currently developing areas. Readers are required to be familiar with the basic concepts of statistical inference and have a good knowledge of advanced calculus.

Practical Statistics By Example Using Microsoft Excel

Practical Statistics by Example Using Microsoft Excel PDF
Author: Terry Sincich
Publisher:
ISBN:
Size: 20.89 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 846
View: 2399

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This manual includes an Excel primer providing basic instructions on using Windows and Excel. Excel Tutorials appear at the end of pertinent chapters. Self-test questions, key terms, formulas and symbols are included.

Mathematical Statistics With Applications

Mathematical Statistics with Applications PDF
Author: William Mendenhall
Publisher: Arden Shakespeare
ISBN:
Size: 44.53 MB
Format: PDF, ePub, Mobi
Category : Mathematical statistics
Languages : en
Pages : 750
View: 4530

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This is the most widely used mathematical statistics text at the top 200 universities in the United States. Premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid undergraduate foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps students discover the nature of statistics and understand its essential role in scientific research.