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An Introduction to Stochastic Modeling, Fourth Edition, by Mark A. Pinsky, Samuel Karlin
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Each double-sided plastic hologram window figure comes with a plastic suction cup for window attachment and official team colors emblazoned with an authentic team logo. Comes with plug and cord to plug into car cigarette lighter. This item usually ships within 7-10 business days.
- Sales Rank: #613246 in Books
- Published on: 2010-12-24
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.25" w x 6.14" l, 1.90 pounds
- Binding: Hardcover
- 584 pages
Amazon.com Review
Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, the fourth edition of Introduction to Stochastic Modeling bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.
About This Edition
In the fourth edition, we have added two new chapters: Chapter 10 on random evolution and Chapter 11 on characteristic functions. Chapter 10, "Random Evolution," denotes a set of stochastic models, which describe continuous motion with piecewise linear sample functions. Explicit formulas are available in the simplest cases. In the general case, one has a central limit theorem, which is pursued more generally in Chapter 11, “Characteristic Functions and Their Applications.” Here the necessary tools from Fourier analysis are developed and applied when necessary. Many theorems are proved in full detail, while other proofs are sketched--in the spirit of the earlier Chapters 1-9. Complete proofs may be found by consulting the intermediate textbooks listed in the section on further reading. Instructors who have taught from the third edition may be reassured that Chapters 1-9 of the new edition are identical to the corresponding chapters of the new book.
Changes This Edition
- Realistic applications from a variety of disciplines integrated throughout the text, including more biological applications
- Plentiful, completely updated problems
- Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers
- New chapters of stochastic differential equations and Brownian motion and related processes
- Additional sections on Martingale and Poisson process
Read a sample chapter from Introduction to Stochastic Modeling.
Review
PRAISE FOR THE SECOND EDITION This book is a valuable resource for anyone studying combustion processes." --David L. Liscinsky, United Technologist Research Center, in AIAA JOURNAL
This is an excellent text-book ... The narrative is clear, careful and detailed but, at the same time, designed to draw (not to bore) the reader in. The main strengths, in my opinion, are the wealth of convincing applications, which are discussed at some, but not too much length after each bit of theoretical development, and the large number of exercises given at the ends of sections, not just at the ends of chapters." --Martin Crowder, University of Surrey, Guildford, in THE STATISTICIAN
About the Author
Karlin-Stanford University, California
Most helpful customer reviews
8 of 9 people found the following review helpful.
Full of typos
By jason songhurst
Used this book for my first course in stochastic processes and was disappointed to find many typos throughout the book. No errata is available on the publisher's website and the living author (Pinsky) ignored my email request for one.
5 of 6 people found the following review helpful.
Not an easy read.
By ace opinion
This book does not give enough description in the chapters. It is my belief that the author made the assumption that the consumers of this book know a lot more about the subject and doesn't need much explaination. You should have a good background in probability before picking this up. Also the e-book solution manuel does not help, so don't bother buying it.
8 of 11 people found the following review helpful.
Better than I initially thought, but still a challenging read
By J. Kennish
The language used in the book is not easy. The layout of the pages does not help to highlight important ideas. If you expect to learn from this book, expect to read each sentence, word for word.
Granted, I was less familiar with the presentation of the beginning material. The probability class I took was taught from an axiomatic standpoint. We didn't cover very much material, and we never discussed distributions. I felt like I was at a serious disadvantage when I embarked upon this class. The notation is different enough from the two probability books I have, and the whole approach was different from my previous class. I really wanted to understand this material (and I really don't want to fail this class), so I did the only thing I could. Read the book. Slowly.
It took me about 3 hours to fully read, understand, and solve problems related to pages 1-16.
We're halfway through Chapter 3 now, and I'm glad I spent so much time on those first pages. It really helps to clearly understand *exactly* what the early notation means. My instructor told me to skim Chapter 2, but to focus my time on Chapter 3, and that was sound advice. I reviewed their explanations of Bernoulli, Binomial, Geometric, and Poisson, as they seem to come up the most.
At first, I hated this book (and my probability class for failing to prepare me). The upside of having to work so hard to understand, is that you do understand at the end of it. Thanks to understanding all the previous notation, Markov Chains (Chapter 3) was waaaaaaaay easier to read and solve. Waaaaaaaaay easier.
The book has grown on me, and I don't absolutely hate it anymore. I hope there's an easier book out there, but maybe there isn't. If your teacher picks this one, don't panic. Just accept the fact that it's going to be a slow process.
The answers for most of the Exercises are in the back. The Solutions manual contains answers to the odd Problems. As a solutions manual, it sucks. Truly. But it's not very expensive, and it might help you if you're ever stuck on an odd problem.
See all 11 customer reviews...
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