Probability and Statistical Models

Foundations for Problems in Reliability and Financial Mathematics

Business & Finance, Economics, Statistics, Nonfiction, Science & Nature, Mathematics
Cover of the book Probability and Statistical Models by Arjun K. Gupta, Wei-Bin Zeng, Yanhong Wu, Birkhäuser Boston
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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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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