It has been nearly ten years since the publication of the second edition of Survival Models and Their Estimation, and its adoption by the Society of Actuaries as the principal references for its Course 160 examination. It appears that the text has proved satisfactory in that role from the point of view of exam candidate and examiner alike.
The mathematics of survival models themselves, and how they might be estimated from sample data, has been a fairly stable topic, so that a revision of the theory presented in the first eight chapters of the textbook does not seem to be required at this time. Consequently, the reader familiar with the second edition will note various clarifications and improvements in presentation in these chapters, but no substantive change in the overall content. Why, then, is a new edition appearing at this time?
Beginning in 1994, a Society of Actuaries Board Task Force on Education has been working toward a new model of actuarial education for the twenty-first century. Among many other important principles, the Task Force has established that actuarial education in the future should include guidance for the application of standard actuarial techniques in disciplines beyond the traditional actuarial areas of insurance and pensions. Since Survival Models and Their Estimation plays its small part in the actuarial education arena, as the reference text for Course 160, it naturally follows that a revision of the text, guided by the Task Force principle of broadened application, is now appropriate. The result is the appearance of new Chapters I0, 11, and 12, which present applications of the general theory of survival models in such fields as epidemiology, facilities planning, economics, investments, reliability engineering, and others.
Two other issues have affected certain changes from the prior to the current edition of this text as well.
The first is that Chapter 9 in the prior edition, which described the demographer's process of estimating survival models from general population data, has been deleted from the text. The material in the prior edition was based on out-of-date studies, namely the Canadian census of 1981 and the U.S. census of 1980, and is not included in the course of reading for the Course 160 exam. Furthermore, the content of that chapter is also included, in up-dated form, in the new (third) edition of Robert L. Brown's Introduction to the Mathematics of Demography [16], and interested readers are directed to that reference.
Author(s): Dick London
Edition: 3
Publisher: ACTEX Publications
Year: 1997
Language: English
Pages: 362
City: Winsted
Tags: Survival Models
Preface to the Second Edition
Preface to the Third Edition
PART I THE NATURE AND PROPERTIES OF SURVIVAL MODELS
Chapter 1: INTRODUCTION
Chapter 2: THE MATHEMATICS OF SURVIVAL MODELS
Chapter 3: THE LIFE TABLE
PART II ESTIMATION OF SURVIVAL MODELS FROM SAMPLE DATA
Chapter 4: TABULAR SURVIVAL MODELS ESTIMATED FROM COMPLETE DATA SAMPLES
Chapter 5: TABULAR SURVIVAL MODELS ESTIMATED FROM INCOMPLETE DATA SAMPLES: STUDY DESIGN
Chapter 6: TABULAR SURVIVAL MODELS ESTIMATED FROM INCOMPLETE DATA SAMPLES: MOMENT PROCEDURES
Chapter 7: TABULAR SURVIVAL MODELS ESTIMATED FROM INCOMPLETE DATA SAMPLES: MAXIMUM LIKELIHOOD PROCEDURES
Chapter 8: ESTIMATION OF PARAMETRIC SURVIVAL MODELS
PART III APPLICATIONS AND EXTENSIONS
Chapter 9: TRADITIONAL ACTUARIAL APPLICATIONS
Chapter 10: MULTI-STATE MODELS
Chapter 11: APPLICATIONS IN ECONOMICS AND FINANCE
Chapter 12: ADDITIONAL MISCELLANEOUS APPLICATIONS
Appendix A: PROPERTIES OF ESTIMATORS
Appendix B: ASYMPTOTIC PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATORS
Appendix C: DERIVATION OF EQUATION (8.49)
Appendix D: EQUIVALENCE OF EQUATIONS (10.22a) and (10.22b)
ANSWERS TO THEEXERCISES
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
BIBLIOGRAPHY
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