Introduction to Probability Models
Academic Press Inc (Verlag)
978-0-12-598475-1 (ISBN)
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The seventh edition of the successful Introduction to Probability Models introduces elementary probability theory and the stochastic processes and is particularly well-suited to those applying probability theory to the study of phenomena in engineering, management science, the physical and social sciences, and operations research. Skillfully organized, Introduction to Probability Models covers all essential topics. Sheldon Ross, a talented and prolific textbook author, distinguishes this carefully and substantially revised book by his effort to develop in students an intuitive, and therefore lasting, grasp of probability theory. The seventh edition includes many new examples and exercises, with the majority of the new exercises being less demanding of the student. In addition, the text introduces stochastic processes, stressing applications, in an easily understood manner. There is a comprehensive introduction to the applied models of probability that stresses intuition. Both students and professors will agree that this is the most solid and widely used text for probability theory.
Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.
Introduction to Probability.
Random Variables.
Conditional Probability and Conditional. Expectation.
Markov Chains.
The Exponential Distribution and the Poisson Process.
Continuous-Time Markov Chains.
Renewal Theory and Its Applications.
Queuing Theory.
Reliability Theory.
Brownian Motion and Stationary Processes.
Simulation.
| Erscheint lt. Verlag | 2.3.2000 |
|---|---|
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 191 x 248 mm |
| Gewicht | 1060 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| ISBN-10 | 0-12-598475-8 / 0125984758 |
| ISBN-13 | 978-0-12-598475-1 / 9780125984751 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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