This text introduces engineering students to probability theory and stochastic processes.
He is also the coauthor of Handbook of Probability and coeditor of Handbook of Modeling High-Frequency Data in Finance, both published by Wiley.
This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a...
This text will help you grasp the concepts of probability and stochastic processes and apply them throughout your careers.
This is the probabilistic counterpart to a deterministic process (or deterministic system).
Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Fourth Edition
An intuitive, algorithmic approach to probability and stochastic processes.
The basic probability model; Some classical models; Random variables; Independent Random variables; Conditional probability; Markov chains; Continuous time Markov processes; Vector independence and the multivariate normal distribution; Stationary time series.
The book is intended to undergraduate students, it presents exercices and problems with rigorous solutions covering the mains subject of the course with both theory and applications.The questions are solved using simple mathematical methods ...