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Author by: Jean Dickinson Gibbons Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 80 Total Download: 288 File Size: 42,8 Mb Description: Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates. Author by: David J.

Sheskin Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 92 Total Download: 856 File Size: 48,7 Mb Description: 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. Female pop songs.

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. Author by: Jean Dickinson Gibbons Language: en Publisher by: Chapman and Hall/CRC Format Available: PDF, ePub, Mobi Total Read: 81 Total Download: 396 File Size: 47,8 Mb Description: Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material.

New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures.

The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format.

Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech. Author by: Jean Dickinson Gibbons Language: en Publisher by: CRC Press Format Available: PDF, ePub, Mobi Total Read: 95 Total Download: 810 File Size: 46,7 Mb Description: Thoroughly revised and reorganized, the fourth edition presents in-depth coverage of the theory and methods of the most widely used nonparametric procedures in statistical analysis and offers example applications appropriate for all areas of the social, behavioral, and life sciences. The book presents new material on the quantiles, the calculation of exact and simulated power, multiple comparisons, additional goodness-of-fit tests, methods of analysis of count data, and modern computer applications using MINITAB, SAS, and STATXACT. It includes tabular guides for simplified applications of tests and finding P values and confidence interval estimates. Author by: Sneh Gulati Language: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 88 Total Download: 927 File Size: 54,9 Mb Description: By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail. Its main purpose is to fill this void on general inference from record values. Statisticians, mathematicians, and engineers will find the book useful as a research reference.