Generalized Linear Models for Insurance Data

Discover the essential resource for actuaries with Generalized Linear Models for Insurance Data by Piet de Jong. Published by Cambridge University Press in 2008, this hardback edition spans 208 pages and offers a practical yet rigorous introduction to Generalized Linear Models (GLMs) within the actuarial context.

This comprehensive guide equips readers with the necessary tools to apply GLMs effectively in insurance data analysis. Each technique is illustrated with relevant data sets, ensuring that the content is not only theoretical but also applicable in real-world scenarios. Engage with exercises and data-based practicals designed to reinforce your skills, and access additional resources such as SAS code, output, and exercise solutions on the accompanying website.

Enhance your understanding of probability and statistics in the insurance sector with this invaluable text, perfect for both students and professionals in the field.