Download Instructor Resources of Stochastic Processes in Science, Engineering and Finance - Instructor's Solutions Manual

PDF Please note that by purchasing this product, you will only receive instructor resources related to the book. This product does not include the book itself. by Frank Beichelt
Information
Format: PDF Language: English Publisher: Chapman and Hall/CRC; 1st edition (February 22, 2006) Publication Date of the Electronic Edition: 2006
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ISBN: 9781584884934, 1584884932
Description
This book presents a self-contained introduction to stochastic processes with emphasis on their applications in science, engineering, finance, computer science, and operations research. It provides theoretical foundations for modeling time-dependent random phenomena in these areas and illustrates their application by analyzing numerous practical examples. The treatment assumes few prerequisites, requiring only the standard mathematical maturity acquired by undergraduate applied science students. It includes an introductory chapter that summarizes the basic probability theory needed as background. Numerous exercises reinforce the concepts and techniques discussed and allow readers to assess their grasp of the subject. Solutions to most of the exercises are provided in an appendix. While focused primarily on practical aspects, the presentation includes some important proofs along with more challenging examples and exercises for those more theoretically inclined. Mastering the contents of this book prepares readers to apply stochastic modeling in their own fields and enables them to work more creatively with software designed for dealing with the data analysis aspects of stochastic processes.
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