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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.
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.
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.
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.
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.
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.
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.

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