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Springer Simultaneous Statistical Inference - Life Sciences Applications

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£109.35 £91.33 £95.26 £99.19 £103.13 £107.06 £110.99 26 July 2026 16 August 2026 07 September 2026 29 September 2026 21 October 2026
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Description

This comprehensive monograph provides an in-depth mathematical treatment of modern multiple test procedures that control the false discovery rate (FDR) and related error measures. Designed for researchers and practitioners in genetics, proteomics, neuroscience, and general biology, the book combines rigorous statistical theory with practical implementation guidance. It addresses both standard approaches and new developments for non-standard assumptions, with particular emphasis on multiple tests for discrete data. Whether you are conducting genomic studies, analysing protein expression data, or investigating neural systems, this Springer publication equips you with the advanced inferential methods needed to manage type I error rates effectively in large-scale hypothesis testing scenarios.

Key Features

Springer monograph offering rigorous mathematical treatment of modern multiple test procedures and false discovery rate control methods.

Practical implementation guidance helps researchers apply FDR and related error control techniques directly to real experimental data.

Addresses applications across genetics, proteomics, neuroscience and general biology with field-specific statistical solutions.

Includes new developments for non-standard assumptions, particularly multiple tests for discrete data and categorical outcomes.

Suitable for graduate students and experienced researchers seeking advanced statistical inference methods for large-scale studies.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 February 2014
Listed Since
01 November 2013

Barcode

No barcode data available

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