Statistical Intervals: A Guide for Practitioners and Researchers (Wiley Series in Probability and Statistics) offers a comprehensive exploration of the essential tools for quantifying sampling uncertainty. Originally published in 1991, this widely acclaimed first edition provided an accessible introduction to key statistical intervals such as prediction intervals, tolerance intervals, and confidence intervals on distribution quantiles. The second edition, significantly expanded to more than double its original size, incorporates newly developed methodologies while maintaining a practical and user-friendly approach.

Key additions include detailed discussions on:

• Likelihood-based statistical intervals
• Nonparametric bootstrap intervals
• Parametric bootstrap and other simulation-based intervals

Besides extensive updates to the original content, this edition introduces new chapters that delve into these advanced topics. Each chapter is designed to be accessible to both practitioners and researchers, offering a blend of theoretical foundations and practical applications. The book’s focus on key application needs ensures that it remains relevant for professionals in various fields requiring statistical analysis.

With over 600 pages, this authoritative guide equips readers with the knowledge necessary to effectively apply statistical intervals in real-world scenarios. Whether you are a seasoned researcher or new to the field, Statistical Intervals: A Guide for Practitioners and Researchers is an invaluable resource.