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Simultaneous Statistical Inference

With Applications in the Life Sciences

Thorsten Dickhaus

PDF
ca. 149,79 €
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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

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.

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Kundenbewertungen

Schlagwörter

Binary Classification, False Discovery Rate, Large-scale Problems in the Life Sciences, Multiple Testing Theory, Error Measures for High-dimensional Data, Least Favorable Parameter Configurations, Step-up-down Tests, Multiple Tests for Discrete Data, Simultaneous Statistical Inference