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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis
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Permutation Tests for Complex Data: Theory, Applic ations and Software 2e (Hardcover, 2nd Edition)
Loot Price: R2,738
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Permutation Tests for Complex Data: Theory, Applic ations and Software 2e (Hardcover, 2nd Edition)
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Complex multivariate testing problems are frequently encountered in
many scientific disciplines, such as engineering, medicine and the
social sciences. As a result, modern statistics needs permutation
testing for complex data with low sample size and many variables,
especially in observational studies. The Authors describe
permutation tests from the point of view of experimental design,
avoiding cumbersome mathematical details, and illustrate the
process of devising an appropriate permutation test through case
studies. In addition to the text, we contribute two open source
packages for permutation tests, permute in Python and permuter in
R, which include a comprehensive code base to implement common
permutation tests as well as the code to implement each of the
book's case studies. This text may serve as an introduction to
permutation tests for researchers, a handbook for researchers
hoping to use the open source code, and a textbook in a
graduate-level statistics or data science course. Key Features:
Examines the most up-to-date methodologies of univariate and
multivariate permutation testing. Includes real case studies from
both experimental and observational studies. Presents and discusses
solutions to the most important and frequently encountered real
problems in multivariate analyses. Together with a wide set of
application cases, the Authors present a thorough theory of
permutation testing both with formal description and proofs, and
analysing real case studies. Graduates, practitioners and
researchers, working in different scientific fields such as
engineering, biostatistics, psychology or medicine will benefit
from this book.
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