|1."Actuarial Statistics: An Introduction Using R" by Shailaja R Deshmukh|
“Actuarial Statistics: An Introduction Using R” Book Review: This book covers the basic techniques of the subject, which are essential for determining premium rates and calculating reserves. It includes topics such as the application of utility theory and short-term risk models. It also explains distribution theory related to future and lifetime random variables, as well as the construction of aggregate and select life tables. Important subjects like financial mathematics, annuities, terms, endowment, and whole life insurance products are discussed. The book provides numerous examples and problems at the end of each chapter. It utilizes R software for computing monetary functions and provides R commands for various functions.
|2."Predictive Modeling Applications in Actuarial Science" by Richard A Derrig and Glenn Meyers|
“Predictive Modeling Applications in Actuarial Science” Book Review: This is a book that helps predict the future using data. It explains how certain factors are connected to the things we want to predict. By looking at what happened in the past, we can make predictions about what will happen in the future. The book shows examples of how these predictions are used in the insurance industry. It also introduces advanced statistical techniques and provides applications of predictive modeling in the second volume. This book is suitable for beginners who want to learn about making predictions using data.
|3."Generalized Linear Models for Insurance Data (International Series on Actuarial Science)" by Piet de Jong and Gillian Z Heller|
“Generalized Linear Models for Insurance Data (International Series on Actuarial Science)” Book Review: This is a simple guidebook that covers an important subject called Generalized Linear Models (GLM). GLM helps industries make important decisions. This book is the first of its kind to focus on using GLM for insurance data. It explains standard exponential family distributions and methods for dealing with related data. The book also includes information on recent developments that go beyond GLM. It explores topics like selecting the best models when working with large data sets and managing different exposure times. There are exercises and practical examples throughout the book. The appendix provides helpful SAS and R code examples on the website.
|4."Financial and Actuarial Statistics: An Introduction" by Dale S Borowiak and Arnold F Shapiro|
We have compiled a list of the Best Reference Books on Actuarial Science, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Actuarial Science Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Actuarial Science below.
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