Loss Models: from Data to Decisions 5/e [Klugman] 9781119523789

Loss Models contains a wealth of examples that highlight the real-world applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text:

• Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM
• Contains a wealth of exercises taken from previous exams
• Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA)

頁數：552
版次：第5版
年份：2019年
規格：精裝/雙色
ISBN：9781119523789

​Part I Introduction
1 Modeling
2 Random Variables
3 Basic Distributional Quantities
Part II Actuarial Models
4 Characteristics of Actuarial Models
5 Continuous Models
6 Discrete Distributions
7 Advanced Discrete Distributions
8 Frequency and Severity with Coverage Modifications
9 Aggregate Loss Models
Part III Mathematical Statistics
10 Introduction to Mathematical Statistics
11 Maximum Likelihood Estimation
12 Frequentist Estimation for Discrete Distributions
13 Bayesian Estimation
Part IV Construction of Models
14 Construction of Empirical Models
15 Model Selection
Part V Credibility
16 Introduction to Limited Fluctuation Credibility
17 Greatest Accuracy Credibility
18 Empirical Bayes Parameter Estimation
Part VI Simulation
19 Simulation
A An Inventory of Continuous Distributions
B An Inventory of Discrete Distributions
C Frequency and Severity Relationships
D The Recursive Formula
E Discretization of the Severity Distribution​