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Providing a much-needed bridge between elementary statistics
courses and advanced research methods courses, Understanding
Advanced Statistical Methods helps students grasp the fundamental
assumptions and machinery behind sophisticated statistical topics,
such as logistic regression, maximum likelihood, bootstrapping,
nonparametrics, and Bayesian methods. The book teaches students how
to properly model, think critically, and design their own studies
to avoid common errors. It leads them to think differently not only
about math and statistics but also about general research and the
scientific method. With a focus on statistical models as producers
of data, the book enables students to more easily understand the
machinery of advanced statistics. It also downplays the
"population" interpretation of statistical models and presents
Bayesian methods before frequentist ones. Requiring no prior
calculus experience, the text employs a "just-in-time" approach
that introduces mathematical topics, including calculus, where
needed. Formulas throughout the text are used to explain why
calculus and probability are essential in statistical modeling. The
authors also intuitively explain the theory and logic behind real
data analysis, incorporating a range of application examples from
the social, economic, biological, medical, physical, and
engineering sciences. Enabling your students to answer the why
behind statistical methods, this text teaches them how to
successfully draw conclusions when the premises are flawed. It
empowers them to use advanced statistical methods with confidence
and develop their own statistical recipes. Ancillary materials are
available on the book's website.
This is an EXACT reproduction of a book published before 1923. This
IS NOT an OCR'd book with strange characters, introduced
typographical errors, and jumbled words. This book may have
occasional imperfections such as missing or blurred pages, poor
pictures, errant marks, etc. that were either part of the original
artifact, or were introduced by the scanning process. We believe
this work is culturally important, and despite the imperfections,
have elected to bring it back into print as part of our continuing
commitment to the preservation of printed works worldwide. We
appreciate your understanding of the imperfections in the
preservation process, and hope you enjoy this valuable book.
This is a reproduction of a book published before 1923. This book
may have occasional imperfections such as missing or blurred pages,
poor pictures, errant marks, etc. that were either part of the
original artifact, or were introduced by the scanning process. We
believe this work is culturally important, and despite the
imperfections, have elected to bring it back into print as part of
our continuing commitment to the preservation of printed works
worldwide. We appreciate your understanding of the imperfections in
the preservation process, and hope you enjoy this valuable book.
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