||0 of 0 people found the following review helpful.| A very good introductory text|By Aran Joseph Canes|A very good introduction to Generalized Linear Models for actuaries and analytics professionals. Particularly useful is an appendix with examples of how to program in SAS the different techniques. Those without a graduate background in statistics will find the first chapters of the book very helpful as the authors review a g||"I would recommend such a book to my students without hesitation." Cho-Jieh Chen, Journal of the American Statistical Association|About the Author|Gillian Heller is Associate Professor of Statistics at Macquarie Un
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and...
[PDF.wb32] Generalized Linear Models for Insurance Data (International Series on Actuarial Science) Rating: 3.84 (727 Votes)
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You can specify the type of files you want, for your gadget.Generalized Linear Models for Insurance Data (International Series on Actuarial Science) | PIET DE JONG, GILLIAN Z. HELLER. A good, fresh read, highly recommended.
