£88.52

Cambridge University Press Cambridge GLMs for Insurance Data - Actuarial Science Book

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Description

Master the application of generalized linear models (GLMs) in the insurance industry with this essential text from Cambridge University Press. While GLMs are used to support critical decisions across the insurance sector, most textbooks fail to address the specific challenges found in insurance data sets. This book fills that gap by providing a practical and rigorous approach tailored specifically for actuaries. By using real insurance data sets, the text covers all standard exponential family distributions and extends methodology to handle correlated data structures. It also explores recent developments that move beyond traditional GLM frameworks. This is the only resource designed to address the unique problems and model specifications inherent to insurance data, making it a necessary addition to your professional library for econometric analysis and actuarial science.

Key Features

Practical application through the use of real insurance data sets to ensure relevance to industry professionals.

Comprehensive coverage of all standard exponential family distributions used in statistical modeling.

Advanced methodology that extends beyond basic GLMs to include correlated data structures.

Specialized focus on insurance-specific data problems and model specifications that other texts omit.

Includes recent developments in the field to provide knowledge that goes beyond standard GLM techniques.

Rigorous academic approach suitable for the International Series on Actuarial Science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 February 2008
Listed Since
04 July 2007

Barcode

No barcode data available

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