Processing ...... FreeComputerBooks.com Links to Free Computer, Mathematics, Technical Books all over the World

Introduction to Probability, Statistics, and Random Processes

• Title Introduction to Probability, Statistics, and Random Processes
• Author(s) Hossein Pishro-Nik
• Publisher: Kappa Research, LLC (August 24, 2014)
• License(s): CC BY-NC-ND
• Hardcover 744 pages
• eBook HTML and PDF Files
• Language: English
• ISBN-10/ASIN: 0990637204
• ISBN-13: 978-0990637202 Book Description

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.

• 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.

• N/A
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
• Introduction to Probability for Data Science (Stanley Chan)

This book is an introductory textbook in undergraduate probability in the context of data science to emphasize the inseparability between data (computing) and probability (theory) in our time, with examples in both MATLAB and Python.

• Probability Theory: The Logic of Science (E. T. Jaynes)

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems.

• Introduction to Random Matrices: Theory and Practice

This is a book for absolute beginners. The aim is to provide a truly accessible introductory account of Random Matrix theory. Most chapters are accompanied by MATLAB codes to guide readers through the numerical check of most analytical results.

• Probability and Mathematical Statistics (Prasanna Sahoo)

This book presents an introduction to probability and mathematical statistics for students already having some elementary mathematical background. It blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts.

Book Categories
 : All Categories Recent Books Miscellaneous Books  Computer Languages Computer Science Data Science/Databases Electrical Engineering Java and Java EE (J2EE) Linux and Unix Mathematics Microsoft and .NET Mobile Computing  Networking and Communications Software Engineering Special Topics Web Programming
Other Categories