R Is For Actuaries And Data Scientists With Applications To Insurance
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R is for Actuaries and Data Scientists with Applications to Insurance
"There are books on R and books on modern statistical methods, but very few books on both, and fewer still that are accessible to the newcomer and focused on actuarial applications. R for Actuaries and Data Scientists is designed to fill this void. Written in a light, conversational style, this book will show you how to install and get up to speed with R in no time. It will also give you an overview of the key modeling techniques in modern data science including generalized linear models, decision trees, and random forests, and illustrate the use of these techniques with real datasets from insurance. Engaging and at times funny, this book will be valuable for both newcomers to R and experienced practitioners who would like a better understanding of how R can be applied in insurance"--
Generalized Linear Models for Insurance Data
Author: Piet de Jong
language: en
Publisher: Cambridge University Press
Release Date: 2008-02-28
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 discusses recent developments which go beyond the GLM. 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. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.
Regression Modeling with Actuarial and Financial Applications
Author: Edward W. Frees
language: en
Publisher: Cambridge University Press
Release Date: 2010
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.