Logo

Stochastic Processes by Leif Mejlbro

Small book cover: Stochastic Processes

Stochastic Processes
by

Publisher: BookBoon
ISBN-13: 9788776815240
Number of pages: 263

Description:
In this book you will find the basic stochastic processes mathematics that is needed by engineers and university students. Topics such as elementary probability calculus, density functions and stochastic processes are illustrated.

Home page url

Download or read it online for free here:
Download link 1
Download link 2

(multiple PDF files)

Similar books

Book cover: Reversibility and Stochastic NetworksReversibility and Stochastic Networks
by - John Wiley and Sons Ltd
The book on vector stochastic processes in equilibrium or stochastic networks, with wide range of applications. It covers the concept of reversibility, the output from a queue, and the epolymerization process quilibrium distribution.
(14492 views)
Book cover: Synchronization and Linearity: An Algebra for Discrete Event SystemsSynchronization and Linearity: An Algebra for Discrete Event Systems
by - John Wiley & Sons
Presents new modelling and analysis techniques for the description of discrete event dynamic systems. Created within the text is a calculus which allows the derivation of analytical tools for computing the time behavior of this type of system.
(10671 views)
Book cover: Lectures on Stochastic ProcessesLectures on Stochastic Processes
by - Tata Institute of Fundamental Research
The book discusses the elementary parts of Stochastic Processes from the view point of Markov Processes. Topics: Markov Processes; Srong Markov Processes; Multi-dimensional Brownian Motion; Additive Processes; Stochastic Differential Equations; etc.
(9689 views)
Book cover: Probability Theory and Stochastic Processes with ApplicationsProbability Theory and Stochastic Processes with Applications
by - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
(9386 views)