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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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A Primer of Permutation Statistical Methods (Paperback, 1st ed. 2019)
Loot Price: R2,442
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A Primer of Permutation Statistical Methods (Paperback, 1st ed. 2019)
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The primary purpose of this textbook is to introduce the reader to
a wide variety of elementary permutation statistical methods.
Permutation methods are optimal for small data sets and non-random
samples, and are free of distributional assumptions. The book
follows the conventional structure of most introductory books on
statistical methods, and features chapters on central tendency and
variability, one-sample tests, two-sample tests, matched-pairs
tests, one-way fully-randomized analysis of variance, one-way
randomized-blocks analysis of variance, simple regression and
correlation, and the analysis of contingency tables. In addition,
it introduces and describes a comparatively new permutation-based,
chance-corrected measure of effect size. Because permutation tests
and measures are distribution-free, do not assume normality, and do
not rely on squared deviations among sample values, they are
currently being applied in a wide variety of disciplines. This book
presents permutation alternatives to existing classical statistics,
and is intended as a textbook for undergraduate statistics courses
or graduate courses in the natural, social, and physical sciences,
while assuming only an elementary grasp of statistics.
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