Tipo: materialTypeLabelLibro - General
Ubicación Física: 519.2 / Y32

Probability and stochastic processes : a friendly introduction for electrical and computer engineers /

Autor: Yates, Roy D.
Otros Autores: Goodman, David J..
Pié de imprenta: Hoboken, New Jersey : John Wiley & Sons, 2005.
Edición: 2a. ed.
Descripción: 519 p.
ISBN: 9780471272144.
Tema(s):
Resumen: Maintaining there highly popular, user-friendly approach, Roy Yates and David Goodman demystify probability unlike any other text today. The authors help you develop am intuitive grasp of the principles of probability and stochastic processes, allowing you to successfully solve basic engineering problems using these principles... with smile. The author present the principles of probability and stochastic processes as a logical sequence of bulding blocks that are clearly identified as axiom, definition, or theorem. For each new principle, examples illustrate the application of the mathematics to engineering problems. You'll also have many opportunities practice. Now revised, this second edition features a new chapter in 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 understandig 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 hand-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.)

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Maintaining there highly popular, user-friendly approach, Roy Yates and David Goodman demystify probability unlike any other text today. The authors help you develop am intuitive grasp of the principles of probability and stochastic processes, allowing you to successfully solve basic engineering problems using these principles... with smile. The author present the principles of probability and stochastic processes as a logical sequence of bulding blocks that are clearly identified as axiom, definition, or theorem. For each new principle, examples illustrate the application of the mathematics to engineering problems. You'll also have many opportunities practice. Now revised, this second edition features a new chapter in 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 understandig 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 hand-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.)

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