£149.00

Springer Subsampling (Springer Series in Statistics) - Bootstrap Methods

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Description

Subsampling offers a comprehensive foundation for resampling methodology in complex statistical analysis. Building on the legacy of Efron's bootstrap innovations, this Springer Series volume explores jackknife, subsampling, and related computer-intensive methods designed to solve real-world statistical problems without relying on unrealistic assumptions about data generation mechanisms. This text bridges the gap between theoretical development and practical application, providing rigorous mathematical treatment of resampling techniques that have transformed modern statistics. Ideal for researchers, statisticians, and advanced students seeking to understand subsampling theory and its relationship to bootstrap and jacknife approaches, the book establishes essential foundations for applying these methods to challenging statistical situations across diverse fields.

Key Features

Subsampling methods provide statistical tools for complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism.

The Springer Series in Statistics volume covers bootstrap, jacknife, and other computer-intensive resampling methods developed since Efron's foundational work.

Comprehensive treatment of subsampling methodology establishes theoretical foundations essential for advanced statistical analysis and research applications.

Designed for researchers and statisticians working with complex data who need practical resampling techniques beyond traditional statistical approaches.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 August 1999
Listed Since
08 February 2007

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