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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.
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.
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