Name: Nonparametric Statistical Inference: 131 (Statistics: A Series of Textbooks and Monographs) (en Inglés)
Price: 365751.00 COP
Availability: InStock
Author: Jean Dickinson Gibbons; Subhabrata Chakraborti
ISBN: 9781138087446

portada Nonparametric Statistical Inference: 131 (Statistics: A Series of Textbooks and Monographs) (en Inglés)

Formato

Libro Físico

Autor

Jean Dickinson Gibbons; Subhabrata Chakraborti

Año

2020

Idioma

Inglés

N° páginas

694

Encuadernación

Tapa Dura

ISBN13

9781138087446

N° edición

Categorías

Teoría de números

Nonparametric Statistical Inference: 131 (Statistics: A Series of Textbooks and Monographs) (en Inglés)

Jean Dickinson Gibbons; Subhabrata Chakraborti (Autor) · · Tapa Dura

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Reseña del libro "Nonparametric Statistical Inference: 131 (Statistics: A Series of Textbooks and Monographs) (en Inglés)"

Praise for previous editions: "... a classic with a long history." - Statistical Papers "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 "... 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 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. Features Covers the most commonly used nonparametric procedures States the assumptions, develops the theory behind the procedures, and illustrates the techniques using realistic examples from the social, behavioral, and life sciences Presents tests of hypotheses, confidence-interval estimation, sample size determination, power, and comparisons of competing procedures Includes an Appendix of user-friendly tables needed for solutions to all data-oriented examples Gives examples of computer applications based on R, MINITAB, STATXACT, and SAS Lists over 100 new references Nonparametric 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.