HANDBOOK OF PARAMETRIC AND NONPARAMETRIC STATISTICAL PROCEDURES THIRD EDITION

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Handbook Of Parametric And Nonparametric Statistical Procedures

Author : David J. Sheskin
ISBN : 1420036262
Genre : Mathematics
File Size : 33.50 MB
Format : PDF, ePub, Mobi
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Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of new material. The Third Edition provides unparalleled, up-to-date coverage of over 130 parametric and nonparametric statistical procedures as well as many practical and theoretical issues relevant to statistical analysis. If you need to... Decide what method of analysis to use Use a particular test for the first time Distinguish acceptable from unacceptable research Interpret and better understand the results of pubished studies ...the Handbook of Parametric and Nonparametric Statistical Procedures will help you get the job done.
Category: Mathematics

Handbook Of Parametric And Nonparametric Statistical Procedures Fifth Edition

Author : David J. Sheskin
ISBN : 1439858012
Genre : Mathematics
File Size : 72.43 MB
Format : PDF
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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 throughout New chapters on path analysis, meta-analysis, and structural equation modeling Index numbers and time series analysis applications in business and economics Statistical quality control applications in industry Random- and fixed-effects models for the analysis of variance Broad in scope, the Handbook is intended for individuals involved in a wide spectrum of academic disciplines encompassing the fields of mathematics, the social, biological, and environmental sciences, business, and education. A reference for statistically sophisticated individuals, the Handbook is also accessible to those lacking the theoretical or mathematical background required for understanding subject matter typically documented in statistics reference books.
Category: Mathematics

Handbook Of Parametric And Nonparametric Statistical Procedures

Author : David J. Sheskin
ISBN : 9781420036268
Genre : Mathematics
File Size : 38.20 MB
Format : PDF, ePub, Mobi
Download : 641
Read : 605

Called the "bible of applied statistics," the first two editions of the Handbook of Parametric and Nonparametric Statistical Procedures were unsurpassed in accessibility, practicality, and scope. Now author David Sheskin has gone several steps further and added even more tests, more examples, and more background information-more than 200 pages of new material. The Third Edition provides unparalleled, up-to-date coverage of over 130 parametric and nonparametric statistical procedures as well as many practical and theoretical issues relevant to statistical analysis. If you need to... Decide what method of analysis to use Use a particular test for the first time Distinguish acceptable from unacceptable research Interpret and better understand the results of pubished studies ...the Handbook of Parametric and Nonparametric Statistical Procedures will help you get the job done.
Category: Mathematics

Handbook Of Parametric And Nonparametric Statistical Procedures

Author : David Sheskin
ISBN : 1584888148
Genre : Mathematics
File Size : 79.60 MB
Format : PDF, Mobi
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The fourth edition of the popular Handbook of Parametric and Nonparametric Statistical Procedures covers 160 of the most commonly used parametric and nonparametric statistical procedures encountered in theory and in practice. Featuring 26 new statistical tests and examples as well as 55 new figures, this edition provides new material on regression diagnostics, including the Durbin-Watson test. The book provides a new section on multivariate analysis with additional information on matrix algebra, uses of Hotellings T2, and multivariate analysis of variance and covariance. Sections on medical statistics, clinical trials, survival analysis, and analysis of censored data are also presented in this edition. -- From publisher's description.
Category: Mathematics

Applied Statistics In Occupational Safety And Health

Author : Christopher A. Janicak
ISBN : 9781598888898
Genre : Technology & Engineering
File Size : 34.80 MB
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Created for those who have little experience with statistics, or for those who need to keep a concise reference book on hand, this newly updated handbook provides an introductory guide to basic statistics and data analysis. Using step-by-step methods and both examples and applications common to safety professionals, including loss control consultants and occupational health nurses, this new edition makes understanding the "math" side of the job easier. Readers will learn how to apply appropriate statistical procedures to commonly encountered situations, how to perform each statistical test, how to executive inferential statistics for parametric and non-parametric procedures, and how to use descriptive statistical concepts to summarize data. The author ends each chapter with a chapter summary and review exercises. He also includes extensive illustrations, easy-to-read charts and tables, a glossary of statistical terms, a comprehensive index, solutions to sample problems, and five appendices containing statistical tables with their appropriate uses. This third edition provides new examples and numerous updates.
Category: Technology & Engineering

Computational Statistics Handbook With Matlab Third Edition

Author : Wendy L. Martinez
ISBN : 9781466592742
Genre : Business & Economics
File Size : 83.83 MB
Format : PDF, Kindle
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A Strong Practical Focus on Applications and Algorithms Computational Statistics Handbook with MATLAB®, Third Edition covers today’s most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods. New to the Third Edition This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines. Web Resource The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.
Category: Business & Economics

Permutation Tests

Author : Phillip Good
ISBN : 9781475732351
Genre : Mathematics
File Size : 42.24 MB
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A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.
Category: Mathematics

Applied Nonparametric Statistical Methods Fourth Edition

Author : Peter Sprent
ISBN : 9781439894019
Genre : Mathematics
File Size : 41.55 MB
Format : PDF, ePub
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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.
Category: Mathematics

Using Statistics In Small Scale Language Education Research

Author : Jean L. Turner
ISBN : 9781134055586
Genre : Education
File Size : 86.71 MB
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Assuming no familiarity with statistical methods, this text for language education research methods and statistics courses provides detailed guidance and instruction on principles of designing, conducting, interpreting, reading, and evaluating statistical research done in classroom settings or with a small number of participants. While three different types of statistics are addressed (descriptive, parametric, non-parametric) the emphasis is on non-parametric statistics because they are appropriate when the number of participants is small and the conditions for use of parametric statistics are not satisfied. The emphasis on non-parametric statistics is unique and complements the growing interest among second and foreign language educators in doing statistical research in classrooms. Designed to help students and other language education researchers to identify and use analyses that are appropriate for their studies, taking into account the number of participants and the shape of the data distribution, the text includes sample studies to illustrate the important points in each chapter and exercises to promote understanding of the concepts and the development of practical research skills. Mathematical operations are explained in detail, and step-by-step illustrations in the use of R (a very powerful, online, freeware program) to perform all calculations are provided. A Companion Website extends and enhances the text with PowerPoint presentations illustrating how to carry out calculations and use R; practice exercises with answer keys; data sets in Excel MS-DOS format; and quiz, midterm, and final problems with answer keys.
Category: Education

Longitudinal Data Analysis

Author : Garrett Fitzmaurice
ISBN : 142001157X
Genre : Mathematics
File Size : 27.5 MB
Format : PDF, ePub, Mobi
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Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data. After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines. Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.
Category: Mathematics