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.) |
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libro - Reserva | Biblioteca Sede 4 Sede4 | Colección General | 519.2 / Y32 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 49530 |
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519.2 / W219 - 2012 Probabilidad y estadística para ingeniería y ciencias / | 519.2 / W219 - 2012 Probabilidad y estadística para ingeniería y ciencias / | 519.2 / W219 - 2012 Probabilidad y estadística para ingeniería y ciencias / | 519.2 / Y32 Probability and stochastic processes : a friendly introduction for electrical and computer engineers / | 519.2 / Z66 Elements of engineering probability and statistics / | 519.22/M767/2021 Probability, statistics, and stochastic processes for engineers and scientists / | 519.23/D634/2016 Introduction to stochastic processes with R / |
Ciencias Básicas
Sistemas
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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