Author: Bean
Publisher:
Publish Date: 2003-04-01
Features: This book covers a wide range of topics and can be used as a textbook or reference for probability courses in fields such as operations research, statistics, actuarial science, management science, and decision science. It is also suitable for students or professionals seeking self-study. The book is written as a probability textbook for applied fields such as investment, insurance, and engineering. The author introduces the essential knowledge of probability theory while highlighting unique and practical content not thoroughly covered in other books, such as conditional probability, Bayes' theorem, mixed probability distributions, and the Markowitz investment selection model. The book is woven throughout with application problems in investment, insurance, and other engineering fields, featuring numerous examples and exercises. It closely integrates the concepts and methods of the science of uncertainty with practical applications in the financial domain. This book covers a wide range of topics and can be used as a textbook or reference for probability courses in fields such as operations research, statistics, actuarial science, management science, and decision science. It is also suitable for students or professionals seeking self-study.
Probability theory and its applications in investment, insurance, and engineering
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