
Welcome to the project Regression Modeling with Actuarial and Financial Applications! The primary product of this project is a book by the same title, designed for basic actuarial education. Of course, there are many good introductions to regression and time series available in the literature. The approach of this project is unique in that it is designed for actuaries or, more generally, quantitative analysts interested in financial risk management problems. The two main features that distinguish this approach from others are
Contents. The project focuses on topics of interest to actuaries. The content consists of foundational ideas but also includes advanced topics such as generalized linear models, twopart models, claims triangles and more, as well as general communications topics on writing and graphical design.
The publisher for the book is
Cambridge University Press.
Supplements
Data. To encourage readers to learn interactively, data used in the book and exercises are available at this web site. These data sets are taken primarily from insurance and actuarial applications. By studying them, the reader not only learns statistics but also becomes familiar with potential insurance applications of regression and time series methods!
Statistical Software Scripts. To make this content truly "applied," one learns by doing  for us, this means analyzing data using statistical software. To encourage a wide readership, the book will not be tied to a specific statistical software package. However, examples of three statistical software packages will be available on this web site in the form of a series of suggests steps, or "scripts."
Project Resources. Students learn through analytic exercises where they reinforce theory through numerical exercises and theoretical exercises and extensions. They also learn through software homeworks, performing statistical analyses on real data sets. Another method of learning is through more freeranging "projects" where the student or a team of students is given greater latitude in using applied statistical methods on a problem of interest. This page provides some tips on how students might select a project, a structure for writing a project report and some sample student projects.
Instructors' Resources. A few additional resources, in the form of an instructor's manual is available at the Cambridge University Press website. In addition to a description of the the data sets that is available to all, the manual includes a sample syllabus, detailed solutions to the exercises as well as a series of presentations on the content. These are based on lectures given at the University of WisconsinMadison.
Errata list (in .pdf format) of errors discovered to date. Please write Jed Frees (jfrees@bus.wisc.edu) if you uncover new problems.
Date: First published 24 July 2010, Revised 25 Oct 2018 