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portada Nonparametric Statistical Methods (Wiley Series in Probability and Statistics)
Type
Physical Book
Author
Publisher
Topic
Nonparametric Analysis
Collection
Us Gr
Year
2013
Language
English
Pages
848
Format
Hardcover
Dimensions
25.7 x 17.8 x 4.3 cm
Weight
1.56 kg.
ISBN
0470387378
ISBN13
9780470387375
Edition No.
0003
Categories

Nonparametric Statistical Methods (Wiley Series in Probability and Statistics)

Myles Hollander (Author) · Douglas A. Wolfe (Author) · Eric Chicken (Author) · Wiley · Hardcover

Nonparametric Statistical Methods (Wiley Series in Probability and Statistics) - Hollander, Myles ; Wolfe, Douglas A. ; Chicken, Eric

New Book Imported to South Africa
Delivery: 13 Jul - 05 Aug Shipping: 6 to 7 business days.
R 2,263
R 2,263

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Synopsis "Nonparametric Statistical Methods (Wiley Series in Probability and Statistics) "

Praise for the Second Edition "This book should be an essential part of the personal library of every practicing statistician."--Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the importance of nonparametric methods as a significant branch of modern statistics and equips readers with the conceptual and technical skills necessary to select and apply the appropriate procedures for any given situation. Written by leading statisticians, Nonparametric Statistical Methods, Third Edition provides readers with crucial nonparametric techniques in a variety of settings, emphasizing the assumptions underlying the methods. The book provides an extensive array of examples that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data, and one-way and two-way layout problems. In addition, the Third Edition features: The use of the freely available R software to aid in computation and simulation, including many new R programs written explicitly for this new edition New chapters that address density estimation, wavelets, smoothing, ranked set sampling, and Bayesian nonparametrics Problems that illustrate examples from agricultural science, astronomy, biology, criminology, education, engineering, environmental science, geology, home economics, medicine, oceanography, physics, psychology, sociology, and space science Nonparametric Statistical Methods, Third Edition is an excellent reference for applied statisticians and practitioners who seek a review of nonparametric methods and their relevant applications. The book is also an ideal textbook for upper-undergraduate and first-year graduate courses in applied nonparametric statistics.

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