
Probability and Random Processes
A First Course with Applications
Wiley (Publisher)
2nd Edition
Published on 4. January 1985
Book
Paperback/Softback
340 pages
978-0-471-08535-5 (ISBN)
Description
A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.
More details
Product info
Paperback
Edition
2. Auflage
Language
English
Place of publication
New York
United States
Target group
College/higher education
Dimensions
Height: 229 mm
Width: 158 mm
Thickness: 23 mm
Weight
624 gr
ISBN-13
978-0-471-08535-5 (9780471085355)
Schweitzer Classification
Other editions
Previous edition
A.B. Clarke | Ralph L. Disney
Probability and Random Processes for Engineers and Scientists
Book
01/1970
Wiley
€53.86
Article exhausted; check for reprint
Persons
Bruce Clarke is Paul Whitfield Horn Professor of Literature and Science and chair of the Department of English at Texas Tech University. His research focuses on nineteenth- and twentieth-century literature and science, with special interests in systems theory, narrative theory, and ecology. In 2010-11 he was senior fellow at the International Research Institute for Cultural Technologies and Media Philosophy, Bauhaus-University Weimar. His books are Allegories of Writing (1995), Dora Marsden and Early Modernism (1996), Energy Forms (2001), Posthuman Metamorphosis (2008), and Neocybernetics and Narrative (2014). He has coedited From Energy to Information (2002), Emergence and Embodiment (2009), and the Routledge Companion to Literature and Science (2010). He is now writing a cultural history of the American locations, transnational authors, and key concepts of the systems discourses gathered in the Whole Earth Catalog and CoEvolution Quarterly.
Author
Western Michigan University
Virginia Polytechnic Institute and State University
Content
Sample Spaces and Events. Probability. Random Variables and Their Distributions. Sets of Random Variables and Random Sequences. Functions of Random Variables. Expectation. Special Distributions. Fitting Distributions to Data. Random Processes: Introduction and Examples. Discrete Parameter Markov Chains. Continuous Parameter Markov Chains. Limiting Distribution of Continuous Parameter Markov Processes. Introduction to Queueing Theory. Appendixes. Author and Subject Index. Name Index.