In addition, R code and output for all the examples are provided on the website. Tap the surrender button, located at the bottom of the screen. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. Tap on the gear icon on the top left of your screen. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Its waking up to realize that all the strategies have failed. But surrender is not a strategy it is the profound absence of strategies.

Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. Surrender begins here, where all other strategies end.

Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. GLMs are used in the insurance industry to support critical decisions. This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications.

Surrender by K. Piet