Nonparametric methods for quantitative analysis (International series in decision processes)

Science & Math

Gibbons, Jean Dickinson

Mathematics

HOLT. RINEHART AND WINSTON

The new edition of this classic reference includes a wealth of information on the mathematics and practical applications of rank correlation methods. It represents the most extensive revision since the book first appeared in 1948 and provides clear explanations of the methods of rank correlation widely used by statisticians, educators, psychologists, and others involved in analyzing qualitative material. Among the many topics covered are the Goodman-Kruskal coefficient, partial rank correlation, trend tests, and regression techniques. Real numerical examples and problems are taken from interesting research in the social sciences. Expanded tables have also been added that include larger sample sizes and a table of distribution of Kendall's partial law. Reflecting the vast amount of research published in recent years, this edition updates the references and offers over 300 new bibliographic entries. The valuable appendix tables have been revised and expanded.

Rank Correlation Methods

Kendall, the late Sir Maurice

Oxford University Press

This SIAM Classics edition is an unabridged, corrected republication of the work first published in 1977. It provides a compendium of applied aspects of ordering and selection procedures and includes tables that permit the practitioner to carry out the experiment and draw statistically justified conclusions. These tables are not readily available in other texts. Although more than 1000 papers and several books on the general theory of ranking and selection have been published since this book first appeared, the methodology is presented in a more elementary fashion, with numerous examples to help the reader apply it to a specific problem.

Selecting and Ordering Populations: A New Statistical Methodology

John Wiley&Sons, Inc.

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.

Nonparametric Statistical Inference, Fourth Edition: Revised and Expanded (Statistics: A Series of Textbooks and Monographs)

Chakraborti, Subhabrata

CRC-Press

Nonparametric statistical inference (Statistics, textbooks and monographs)

M. Dekker

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.

Nonparametric Statistical Inference, Third Edition (Statistics: A Series of Textbooks and Monographs)

Dr. Jean D. Gibbons' third edition of Nonparametric Methods for Quantitative Analysis has become a legend in applied and experimental statistics across all fields as the consummate textbook and handbook -- as a text, it is suitable for both graduate and undergraduate students in fields (such as education, managmeent, business, behavioral, social and physical sciences) where quantitative techniques of analysis are relevant, as well as for students of applied or experimental statistics; as a handbook, it's for researchers in any field where subject matter requires statistical tools of quantitative analysis. It makes extensive nonparametric work understandable.

Nonparametric Methods for Quantitative Analysis

Business & Money

Management & Leadership

Amer Sciences Pr

Corporate managers and employees often waste each others´ time by not "Bottom-Lining" their e-mails, business letters, reports, and memos. Throw me the Bottom Line ... I'm Drowning in E-mail! is an easy-to-read, sometimes amusing story of a mythical CEO Bob and his quest for a concise method to streamline communication in the business world. Using Bob's easy-to-learn format will save busy employees time - one quick glance at an e-mail and you'll know the sender's entire reason for taking the time to compose and send the message - the "Bottom Line." You'll also learn to effectively compose e-mails and business correspondence, even those sometimes difficult and sensitive messages to your boss, coworkers, or employees. With more than 25 years experience training employees of some of the world's largest corporations, Dr. Jack Fielden and his co-authors were credited in USA Today with coining the term "Bottom Lining" in reference to communications. With this comprehensive guide, you'll learn how to: reduce time spent composing and reading e-mails and other business correspondence, increase productive time by eliminating wasted time, better prepare students and employees to use effective written communication, and communicate an unfavorable opinion to supervisors Use Persuasion and Style to professionally make your point "up" and "down" in the workplace Throw me the Bottom Line ... I'm Drowning in E-mail! is revolutionizing communication in offices and college classrooms everywhere by changing and simplifying how people compose and receive business messages.

Throw Me the Bottom Line...: I'm Drowning in E-Mail!

Fielden, John S.

Dulek, Ronald E.

Pioneer River Pr

Product Description 
Praise for previous editions:\n"… a classic with a long history." – Statistical Papers\n"The fact that the first edition of this book was published in 1971 … [is] testimony to the book’s success over a long period." – ISI Short Book Reviews\n"… one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students." – Biometrics\n"… There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition." – Technometrics\n"… Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics." – Journal of the American Statistical Association 
Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametrics. The Sixth Edition carries on this tradition and incorporates computer solutions based on R. \nFeatures \nCovers the most commonly used nonparametric procedures\nStates the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences\nPresents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures\nIncludes an Appendix of user-friendly tables needed for solutions to all data-oriented examples\nGives examples of computer applications based on R, MINITAB, STATXACT, and SAS\nLists over 100 new references\nNonparametric Statistical Inference, Sixth Edition, has been thoroughly revised and rewritten to make it more readable and reader-friendly. All of the R solutions are new and make this book much more useful for applications in modern times. It has been updated throughout and contains 100 new citations, including some of the most recent, to make it more current and useful for researchers. 
 Review 
“… a classic with a long history.” ― Statistical Papers 
“The fact that the first edition of this book was published in 1971 … [is]ntestimony to the book’s success over a long period.” ― ISI Short Book Reviews 
“ … one of the best books available for a theory course on nonparametric statistics. … very well written and organized … recommended for teachers and graduate students.” – Biometrics 
“… There is no competitor for this book and its comprehensive development and application of nonparametric methods. Users of one of the earlier editions should certainly consider upgrading to this new edition.” ―Technometrics 
“… Useful to students and research workers … a good textbook for a beginning graduate-level course in nonparametric statistics.” ―Journal of the American Statistical Association 
 About the Author 
Jean Dickinson Gibbons is Russell Professor Emerita of Applied Statistics at the University of Alabama, where she also served as Chair for 20 years. She is a life member of the American Statistical Association, serving three terms on their Board of Directors; she was elected a Fellow in 1972. She earned the B.A. (1958) and M.A. (1959) in mathematics from Duke University and the Ph.D. (1962) in statistics from Virginia Tech, which recently named their graduate program after her. In addition to Alabama, she taught at the Wharton School of the University of Pennsylvania, the University of Cincinnati and Mercer University and offered short courses for the U.S. Army, the Naval Postgraduate School and the American Statistical Association. She currently lives in Vero Beach, Florida, where she is a peer leader in the Fielden Institute for Lifelong Learning at Indian River State College.\nSubhabrata Chakraborti is Professor of Statistics and Morrow Faculty Fellow at the University of Alabama. He is a Fellow of the American Statistical A

Nonparametric Statistical Inference (Statistics: A Series of Textbooks and Monographs)

Reference

Chapman and Hall/CRC

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 <ul>
<li>Updated and revised contents based on recent journal articles in the literature</li> <li>A new section in the chapter on goodness-of-fit tests </li> <li>A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered </li> <li>Additional problems and examples </li> <li>Improved computer figures </li> </ul> 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.

See the best price to sell, buy, or rent books by Gibbons, Jean Dickinson. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Gibbons, Jean Dickinson

See the best price to sell, buy, or rent books by Gibbons, Jean Dickinson. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Nonparametric methods for quantitative analysis (International series in decision processes)

Rank Correlation Methods

Selecting and Ordering Populations: A New Statistical Methodology

Nonparametric Statistical Inference, Fourth Edition: Revised and Expanded (Statistics: A Series of Textbooks and Monographs)

Nonparametric statistical inference (Statistics, textbooks and monographs)

Nonparametric Statistical Inference, Third Edition (Statistics: A Series of Textbooks and Monographs)

Nonparametric Methods for Quantitative Analysis

Throw Me the Bottom Line...: I'm Drowning in E-Mail!

Nonparametric Statistical Inference (Statistics: A Series of Textbooks and Monographs)

Nonparametric Statistical Inference (Statistics: A Series of Textbooks and Monographs)