Dale S. Borowiak, Arnold F. Shapiro

Financial and Actuarial Statistics (eBook, PDF)

An Introduction, Second Edition

• Format: PDF

Produktbeschreibung

This work enables readers to obtain the mathematical and statistical background required in the current financial and actuarial industries. It also advances the application and theory of statistics in modern financial and actuarial modeling. This second edition adds a substantial amount of new material, including Excel exercises with solutions; nomenclature and notations standard to the actuarial field; a new chapter on Markov chains and actuarial applications; expanded discussions on simulation, surplus models, and ruin computations; and much more.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 392
• Erscheinungstermin: 12. November 2013
• Englisch
• ISBN-13: 9780203911242
• Artikelnr.: 38178329

Autorenporträt

Dale S. Borowiak is a Professor Emeritus at the University of Akron, where he served for 35 years teaching statistics and initiating the actuarial science program. He received a Ph.D. from Bowling Green State University. His research has been published in professional journals in the fields of statistics, actuarial science, and engineering. He also published Model Discrimination for Nonlinear Regression Models, along with the first edition of the current text.

Arnold F. Shapiro is a Professor Emeritus at the Pennsylvania State University, where he was director of the actuarial program. He received a Ph. D. from the University of Pennsylvania (Wharton). He has published more than 100 articles in professional journals and two books. A Fellow of the Society of Actuaries and an Enrolled Actuary, he been a recipient of the Innovation in Teaching Award from the American Risk and Insurance Association and the Best Research Paper Award from the Health Section of the Society of Actuaries.

Inhaltsangabe

Statistical Concepts. Statistical Techniques. Financial Computational
Models. Deterministic Status Models. Future Lifetime Models and Life
Tables. Stochastic Status Models. Advanced Stochastic Status Models. Markov
Chain Methods. Scenario and Simulation Testing. Further Statistical
Considerations. Appendices. References. Index.