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Multiple Comparisons Using R
ISBN-13:
9781420010909
Veröffentl:
2016
Seiten:
205
Autor:
Frank Bretz
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. Adopting a unifying theme based on maximum statistics, this self-contained introduction describes the common underlying theory of multiple comparison procedures through numerous examples. It covers a range of multiple comparison procedures, from the Bonferroni method and Simes' test to resampling and adaptive design methods. The book also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at CRAN.R-project.org
Introduction. General Concepts. Multiple Comparisons in Parametric Models. Applications. Further Topics. Bibliography. Index.
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