Handbook of Scan Statistics

The Handbook of Scan Statistics serves as a comprehensive resource for researchers and practitioners delving into the intricate world of probability and statistical analysis. With contributions from experts Joseph Glaz and Markos V. Koutras, it explores a variety of methodologies and applications of scan statistics, a powerful tool used to detect clustering and trends in data.

Each volume is meticulously organized, offering insights into both theoretical frameworks and practical implementations. Readers will find detailed discussions on relevant topics, including statistical properties, estimation techniques, and case studies that illustrate the utility of scan statistics across diverse fields, such as epidemiology and environmental studies.

As a vital addition to any statistician's library, this handbook not only enhances understanding but also inspires further exploration within the realms of probability and statistical inference. It bridges the gap between complex statistical concepts and their real-world applications, making it an indispensable reference for both seasoned researchers and those new to the field.