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Books > Science & Mathematics > Mathematics > Probability & statistics
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Nonparametric Statistical Methods, Third Edition (Hardcover, 3rd Edition)
Loot Price: R3,141
Discovery Miles 31 410
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Nonparametric Statistical Methods, Third Edition (Hardcover, 3rd Edition)
Expected to ship within 12 - 17 working days
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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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