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

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering proble...

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Detalles Bibliográficos
Otros Autores: Yates, Roy D., author (author), Goodman, David J., 1939- author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley 2014.
Edición:Third edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630206006719
Tabla de Contenidos:
  • Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .