Springer Subsampling (Springer Series in Statistics) Book

Expand your understanding of statistical methodology with Subsampling, part of the respected Springer Series in Statistics. Since the introduction of Efron's work on the bootstrap, researchers have focused heavily on developing jacknife and other resampling methods. This book addresses the growing need for computer-intensive tools that function effectively in complex environments. Rather than relying on unrealistic or unverifiable assumptions about data generating mechanisms, this text focuses on practical statistical tools. It provides a foundational look at subsampling methodology and related techniques. This is an essential resource for students and professionals working within the fields of probability and statistics who require robust methods for analyzing data in sophisticated scenarios.