Probability and Random Processes

• Author : Geoffrey Grimmett,Geoffrey R. Grimmett,David Stirzaker,Professor of Mathematical Statistics Geoffrey Grimmett,Mathematical Institute David R Stirzaker
• Publisher : Oxford University Press
• Release : 31 May 2001

This textbook provides a wide-ranging and entertaining indroduction to probability and random processes and many of their practical applications. It includes many exercises and problems with solutions.

• Author : GEOFFREY. STIRZAKER GRIMMETT (DAVID.),Oxford Editor
• Publisher : Unknown
• Release : 29 June 2020

Probability is a core topic in science and life. This successful self-contained volume leads the reader from the foundations of probability theory and random processes to advanced topics and it presents a mathematical treatment with many applications to real-life situations.

• Author : Steven Kay
• Publisher : Springer Science & Business Media
• Release : 20 March 2006

Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why

• Author : S. Palaniammal
• Publisher : PHI Learning Pvt. Ltd.
• Release : 25 September 2021

• Author : Leonid Koralov,Yakov G. Sinai,I︠A︡kov Grigorʹevich Sinaĭ
• Publisher : Springer Science & Business Media
• Release : 25 September 2007

The core of this book is a one-year course in probability theory and the theory of random processes, taught at Princeton University. The book provides a comprehensive exposition of classical probability theory and the theory of random processes.

• Author : Wilbur B. Davenport
• Publisher : McGraw-Hill College
• Release : 25 September 1970

• Author : Henry Stark,John William Woods
• Publisher : Unknown
• Release : 25 September 2021

For courses in Probability and Random Processes. An accessible, yet mathematically solid, treatment of probability and random processes. More explanations and more detailed derivations - Given throughout. Many computer examples - Integrated throughout.. Presents probability examples in BASIC.. Includes random process examples in MATLAB using the Student Edition. Discussions of fundamental principles, especially basic probability - Expanded in this edition. Functions of Random Variables - Included as a separate chapter. Problems dealing with applications of basic theory - Added in

• Author : John Bowman Thomas
• Publisher : Krieger Publishing Company
• Release : 25 September 1981

• Author : John J. Shynk
• Publisher : John Wiley & Sons
• Release : 15 October 2012

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background. The book has the following features: Several appendices

• Author : Scott Miller,Donald Childers
• Publisher : Elsevier
• Release : 15 October 2004

Probability and Random Processes provides a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It includes unique chapters on narrowband random processes and simulation techniques. It also includes applications in digital communications, information theory, coding theory, image processing, speech analysis, synthesis and recognition, and other fields. The appendices provide a refresher in such areas as linear algebra, set theory, random variables,

• Author : Venkatarama Krishnan
• Publisher : John Wiley & Sons
• Release : 15 July 2015

The second edition enhanced with new chapters, figures, and appendices to cover the new developments in applied mathematical functions This book examines the topics of applied mathematical functions to problems that engineers and researchers solve daily in the course of their work. The text covers set theory, combinatorics, random variables, discrete and continuous probability, distribution functions, convergence of random variables, computer generation of random variates, random processes and stationarity concepts with associated autocovariance and cross covariance functions, estimation theory and

• Author : Alberto Leon-Garcia
• Publisher : Pearson Education India
• Release : 25 September 1994

• Author : Veerarajan
• Publisher : Tata McGraw-Hill Education
• Release : 25 September 2021

• Author : Oliver Ibe
• Publisher : Elsevier
• Release : 19 October 2005

This book is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style

• Author : E. Wong,J.B. Thomas
• Publisher : Springer
• Release : 25 September 1983

For most people, intuitive notions concerning probabilities are connected with relative frequencies of occurrence. For example, when we say that in toss­ ing a coin, the probability of its coming up "heads" is 1/2, we usually mean that in a large number of tosses, about 1/2 of the tosses will come up heads. Unfortunately, relative frequency of occurrence has proved to be an unsatis­ factory starting point in defining probability. Although there have been attempts to make frequency of occurrence part of