A First Course in Probability and Markov Chains - Rilegato

Modica, Giuseppe; Poggiolini, Laura

 
9781119944874: A First Course in Probability and Markov Chains
Rilegato
ISBN 10: 1119944872 ISBN 13: 9781119944874
Casa editrice: John Wiley & Sons Inc, 2012

Sinossi

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, inclusion-exclusion 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 inclusion-exclusion 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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Giuseppe Modica and Laura Poggiolini,
Dipartimento di Sistemi e Informatica, Università di Firenze, Italy

Dalla quarta di copertina

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, inclusion-exclusion 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 inclusion-exclusion 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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
John Wiley & Sons Inc
Data di pubblicazione
2012
Lingua
Inglese
ISBN 10 
1119944872
ISBN 13 
9781119944874
Rilegatura
Copertina rigida
Numero di pagine
334
Contatto del produttore
non disponibile
Persona responsabile
non disponibile