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Springer Simultaneous Statistical Inference - Life Sciences Applications

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Description

Simultaneous Statistical Inference provides a comprehensive mathematical treatment of modern multiple test procedures for controlling the false discovery rate (FDR) and related error measures across life sciences applications. This Springer monograph delivers in-depth coverage of practical implementation methods for genetics, proteomics, neuroscience and general biology research. The book addresses non-standard assumptions including multiple tests for discrete data, making it essential for researchers, practitioners and graduate students working with complex statistical problems. Combining rigorous theoretical foundations with actionable guidance, this resource bridges the gap between advanced statistical theory and real-world biological applications, enabling readers to apply sophisticated inference techniques to their research challenges.

Key Features

Simultaneous Statistical Inference covers false discovery rate (FDR) control methods essential for modern multiple testing in life sciences research.

This Springer monograph includes detailed implementation guidance to help researchers apply advanced statistical procedures in practical settings.

The book addresses applications across genetics, proteomics, neuroscience and general biology with field-specific examples and approaches.

Multiple tests for discrete data and non-standard assumptions receive dedicated coverage for complex biological datasets.

Designed for researchers, practitioners and graduate students seeking rigorous yet applicable statistical inference techniques for life sciences.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 August 2016
Listed Since
18 August 2016

Barcode

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