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Introduction to Probability, Statistics, and Random Processes - Tapa blanda

Pishro-Nik, Hossein

 
9780990637202: Introduction to Probability, Statistics, and Random Processes
Tapa blanda
ISBN 10: 0990637204 ISBN 13: 9780990637202
Editorial: Kappa Research, LLC, 2014

Sinopsis

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

The book covers:

  • Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
  • Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
  • Limit theorems and convergence
  • Introduction to Bayesian and classical statistics
  • Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
  • Simulation using MATLAB, R, and Python (online chapters)

The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications—such as engineering, finance, everyday life, etc.—are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at www.probabilitycourse.com.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

This book introduces students to probability, statistics, and stochastic processes. It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. It provides a clear and intuitive approach to these topics while maintaining mathematical accuracy.

The book covers:

  • Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
  • Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
  • Limit theorems and convergence
  • Introduction to Bayesian and classical statistics
  • Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
  • Simulation using MATLAB and R (online chapters)

The book contains a large number of solved exercises. The dependency between different sections of this book has been kept to a minimum in order to provide maximum flexibility to instructors and to make the book easy to read for students. Examples of applications—such as engineering, finance, everyday life, etc.—are included to aid in motivating the subject. The digital version of the book, as well as additional materials such as videos, is available at www.probabilitycourse.com.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Kappa Research, LLC
Año de publicación
2014
Idioma
Inglés
ISBN 10 
0990637204
ISBN 13 
9780990637202
Encuadernación
Tapa blanda
Número de páginas
746
Contacto del fabricante
Manufactured by Amazon on behalf of the author
https://www.amazon.es/hz/contact-us

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