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S. Ross - Introduction to Probability Models -

This is a key reference book. 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. It includes many examples and exercises. 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.

* Provides a detailed coverage of the Markov Chain Monte Carlo methods and Markov Chain covertimes

* Gives a thorough presentation of k-record values and the surprising Ignatov's theorem

* Includes many examples

* Contains a comprehensive appendix with the answers to approximately 100 exercises from throughout the text

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	Introduction to Probability Models Sheldon M. Ross, "Introduction to Probability Models "Academic Press \| ISBN: 0125980558 \| 775 pages \| Djvu \| 9,7 MbIntroduction to Probability Models, 8th Edition, continues to introduce and inspire readers to the art of applying probabili ...
	Science/Engineering Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models Tim F. Liao,"Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models"Sage Publications \| 1994-06-30 \| ISBN: 0803949995 \| 96 pages \| PDF \| 1 mbWhat is the probability that something will occur, and how is that pro ...
	Hidden Markov Models for Time Series: An Introduction Using R (Monographs on Statistics and Applied Probability) Hidden Markov Models for Time SeriesWalter Zucchini, Iain L. MacDonald \| Chapman & Hall/CRC \| 2009-04-28 \| ISBN:1584885734 \| Pages: 269 \| PDF \| 5.3MBThis book illustrates the wonderful flexibility of HMMs as general-purpose models for t ...
	Technical Introduction to Probability Models, Ninth Edition Author: Ross, Sheldon M.Publisher: ACADEMIC PRESS(HARCOURT U.S.A.Publish Date: 2006ISBN: 0125980620Hardcover: 800 pages Publisher: Academic Press; 9 edition (December 5, 2006) Language: English ISBN-10: 0125980620 ISBN-13: 978-0125980623
	Technical Introduction to Probability Models, Eighth Edition ISBN: 0125980558 Publisher: Academic Press Author: Sheldon M. RossDescription:Introduction to Probability Models, 8th Edition , continues to introduce and inspire readers to the art of applying probability theory to phenomena in fields such ...
	Technical Models for Probability and Statistical Inference: Theory and Applications (Wiley Series in Probability and Statistics) ISBN: 0470073721 Publisher: Wiley-Interscience Author: James H. StapletonDescription:This concise, yet thorough, book is enhanced with simulations and graphs to build the intuition of readers Models for Probability and Statistical Inference ...

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