A first course in probability and Markov chains
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The work A first course in probability and Markov chains represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
A first course in probability and Markov chains
Resource Information
The work A first course in probability and Markov chains represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 A first course in probability and Markov chains
 Statement of responsibility
 Giuseppe Modica and Laura Poggiolini
 Language
 eng
 Summary

 "Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores notions and structures in probability, including combinatorics, probability measures, probability distributions, conditional probability, inclusionexclusion formulas, random variables, dispersion indexes, independent random variables as well as weak and strong laws of large numbers and central limit theorem. In the second part of the book, focus is given to Discrete Time Discrete Markov Chains which is addressed together with an introduction to Poisson processes and Continuous Time Discrete Markov Chains. This book also looks at making use of measure theory notations that unify all the presentation, in particular avoiding the separate treatment of continuous and discrete distributions. A First Course in Probability and Markov Chains: Presents the basic elements of probability. Explores elementary probability with combinatorics, uniform probability, the inclusionexclusion principle, independence and convergence of random variables. Features applications of Law of Large Numbers. Introduces Bernoulli and Poisson processes as well as discrete and continuous time Markov Chains with discrete states. Includes illustrations and examples throughout, along with solutions to problems featured in this book. The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra"
 "A first course in Probability and Markov Chains presents an introduction to the basic elements in statistics and focuses in two main areas"
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 Provided by publisher
 Provided by publisher
 Cataloging source
 DLC
 Dewey number
 519.2/33
 Index
 index present
 LC call number
 QA274.7
 Literary form
 non fiction
 NAL call number
 QA274.7
 NAL item number
 .M63 2013eb
 Nature of contents

 dictionaries
 bibliography
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 A first course in probability and Markov chains, Giuseppe Modica and Laura Poggiolini
 A first course in probability and Markov chains, Giuseppe Modica and Laura Poggiolini
 A first course in probability and Markov chains, Giuseppe Modica and Laura Poggiolini
 A first course in probability and Markov chains, Giuseppe Modica and Laura Poggiolini
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