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Probability and Statistical Models: Foundations for Problems in Reliability and Financial Mathematics

✍ Scribed by Arjun Gupta


Publisher
BirkhΓ€user Boston
Year
2010
Tongue
English
Leaves
270
Category
Library

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✦ Synopsis


With an emphasis on models and techniques, this textbook introduces many of the fundamental concepts of stochastic modeling that are now a vital component of almost every scientific investigation. In particular, emphasis is placed on laying the foundation for solving problems in reliability, insurance, finance, and credit risk. The material has been carefully selected to cover the basic concepts and techniques on each topic, making this an ideal introductory gateway to more advanced learning. With exercises and solutions to selected problems accompanying each chapter, this textbook is for a wide audience including advanced undergraduate and beginning-level graduate students, researchers, and practitioners in mathematics, statistics, engineering, and economics.

✦ Table of Contents


Probability and Statistical Models
Preface
Contents
1 Preliminaries
2 Exponential Distribution
3 Poisson Process
4 Parametric Families of Lifetime Distributions
5 Lifetime Distribution Classes
6 Multivariate Lifetime Distributions
7 Association and Dependence
8 Renewal Theory
9 Risk Theory
10 Asset Pricing Theory
11 Credit Risk Modeling
Bibliographical Notes and Further Reading
References
Answers and Solutions to Selected Problems
Index


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