The Conway-Maxwell-Poisson Distribution

The Conway-Maxwell-Poisson Distribution

The Conway-Maxwell-Poisson Distribution is a comprehensive guide to an important generalization of the Poisson distribution, which accounts for both overdispersion and underdispersion in count data. This book provides a detailed exploration of the statistical properties, applications, and computational methods related to the Conway-Maxwell-Poisson (COM-Poisson) distribution, making it essential for researchers, statisticians, and data analysts.

Key Features & Benefits:

✅ Comprehensive Theoretical Framework – Covers the derivation, properties, and special cases of the COM-Poisson distribution.
✅ Flexible Modeling Approach – Addresses both overdispersed and underdispersed count data, unlike the standard Poisson model.
✅ Real-World Applications – Demonstrates usage in fields such as epidemiology, queueing theory, and actuarial science.
✅ Computational Techniques – Provides guidance on estimation methods, including likelihood-based and Bayesian approaches.
✅ Advanced Statistical Insights – Ideal for researchers dealing with complex count data modeling.

Why Choose The Conway-Maxwell-Poisson Distribution?

✔️ Rigorous & Well-Structured – Presents both theoretical and applied perspectives.
✔️ Highly Relevant for Modern Data Science – Useful in diverse applications requiring flexible statistical modeling.
✔️ Written by Experts in the Field – Authored by leading statisticians specializing in count data distributions.
✔️ Bridges Theory & Practice – Offers practical implementation strategies with real-world datasets.

This authoritative reference is a must-have for statisticians and researchers looking to expand their toolkit with a powerful and versatile probability model for count data analysis.

Book Details:

• Publisher : Cambridge University Press
• Title :  The Conway-Maxwell-Poisson Distribution
• ISBN 10 :  9781108481106
• Author :  Sellers Kimberly F.
• Language :  English
• Page Count :  250