A
Practitioner's Guide to Resampling
for Data Analysis, Data Mining,
and Modeling
$69.00
for the hyper-link filled pdf file
Learn
to use the bootstrap to
estimate the precision of
sample-based estimates and to
determine sample size,
permutations to test
hypotheses, and the
readily-interpreted decision
tree to replace arcane
regression methods.
This practical guide discusses
the applications of Resampling
methods in virtually every
research area. Each chapter
contains a wealth of examples
along with R and Stata code.
Topics include estimation, the
bootstrap method, multivariate
tests, decision trees, categorical
data, multiple hypotheses, and
model building.
view Table
of Contents
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