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Springer Multiple Testing Procedures - Genomics Statistics Book

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Description

Master the theoretical foundations of multiple hypothesis testing with this specialized text from the Springer Series in Statistics. This book provides a comprehensive methodology designed for researchers and statisticians working with complex data sets. Beyond theory, the text offers practical guidance on software implementation using R and SAS. This allows readers to apply advanced statistical methods directly to their own datasets. The content is specifically tailored to address real-world challenges found in biomedical and genomic research, making it an essential resource for those working in high-dimensional data environments. Whether you are studying statistical theory or looking for practical applications in genomics, this book bridges the gap between mathematical concepts and computational execution. It is an ideal addition to your scientific library for navigating the complexities of modern biological data analysis.

Key Features

Provides a strong theoretical foundation for general multiple hypothesis testing methodologies.

Includes practical guidance on software implementation using both R and SAS programming languages.

Offers direct applications to complex problems within the fields of biomedical and genomic research.

Part of the respected Springer Series in Statistics, ensuring high academic standards.

Connects mathematical theory with real-world computational tools for scientific data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 December 2007
Listed Since
13 February 2007

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No barcode data available

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