Probability and Statistical Models
Foundations for Problems in Reliability and Financial Mathematics
Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
| Author: | Arjun K. Gupta, Wei-Bin Zeng, Yanhong Wu | ISBN: | 9780817649876 |
| Publisher: | Birkhäuser Boston | Publication: | August 26, 2010 |
| Imprint: | Birkhäuser | Language: | English |
| Author: | Arjun K. Gupta, Wei-Bin Zeng, Yanhong Wu |
| ISBN: | 9780817649876 |
| Publisher: | Birkhäuser Boston |
| Publication: | August 26, 2010 |
| Imprint: | Birkhäuser |
| Language: | English |
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.
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.
