Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

Yates, Roy D.; Goodman, David J.

ISBN 10: 0471272140 / ISBN 13: 9780471272144

Edité par John Wiley & Sons Inc (edition Subsequent), 2004

A propos de cet article

Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. N° de réf. du vendeur 0471272140-11-1

Détails bibliographiques

Titre : Probability and Stochastic Processes: A ...

Éditeur : John Wiley & Sons Inc (edition Subsequent)

Date d'édition : 2004

Reliure : Hardcover

Etat : Good

Edition : Subsequent.

A propos de ce titre

Synopsis :

New, ship fast, delivered in 5 days No PO Box.

Quatrième de couverture:

Clear, engaging, and always friendly Maintaining their highly popular, user–friendly approach, Roy Yates and David Goodman demystify probability unlike any other text today. The authors help you develop an intuitive grasp of the principles of probability and stochastic processes, allowing you to successfully solve basic engineering problems using these principles... with a smile. The authors present the principles of probability and stochastic processes as a logical sequence of building blocks that are clearly identified as an axiom, definition, or theorem. For each new principle, examples illustrate the application of the mathematics to engineering problems. You ll also have many opportunities for practice. Now revised, this Second Edition features a new chapter on random vectors, expanded coverage of the applications of probability, a streamlined presentation of Markov chains and elementary queuing theory, and a tutorial in each chapter on using MATLAB. With this text, you ll be able to: Develop an intuitive understanding of the concepts. Follow a single clear model that begins with an experiment consisting of a procedure and observations. Put the theory into practice with an extensive collection of exercises (examples, quizzes, and homework problems). Gain hands–on experience with MATLAB applications. Master basic principles without the confusion of learning two different ways of calculating probabilities and averages at the same time. (Discrete and continuous random variables are treated separately.)