This monograph will provide an in-depth mathematical treatment of
modern multiple test procedures controlling the false discovery
rate (FDR) and related error measures, particularly addressing
applications to fields such as genetics, proteomics, neuroscience
and general biology. The book will also include a detailed
description how to implement these methods in practice. Moreover
new developments focusing on non-standard assumptions are also
included, especially multiple tests for discrete data. The book
primarily addresses researchers and practitioners but will also be
beneficial for graduate students.
General
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