Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

Yates, Roy D.; Goodman, David J.

ISBN 10: 0471272140 / ISBN 13: 9780471272144

Verlag: John Wiley & Sons Inc, 2004

This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! Bestandsnummer des Verkäufers 466SK8002DIL

Inhaltsangabe:

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 sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. Key Features:* The text follows a single model that begins with an experiment consisting of a procedure and observations.* The mathematics of discrete random variables appears separately from the mathematics of continuous random variables.* Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts.* An abundance of exercises are provided that help students learn how to put the theory to use.

Über die Autorin bzw. den Autor: Dr. Roy Yates received the B.S.E. degree in 1983 from Princeton University, and the S.M. and Ph.D. degrees in 1986 and 1990 from M.I.T., all in Electrical Engineering. Since 1990, he has been with the Wireless Information Networks Laboratory (WINLAB) and the ECE department at Rutgers, University. He is currently an associate professor. David J. Goodman is Director of WINLAB and a Professor of Electrical and Computer Engineering at Rutgers University. Before coming to Rutgers, he enjoyed a twenty year research career at Bell Labs where he was a Department Head in Communications Systems Research. He has made fundamental contributions to digital signal processing, speech coding, and wireless information networks.

Bibliografische Details

Titel: Probability and Stochastic Processes: A ...
Verlag: John Wiley & Sons Inc
Erscheinungsdatum: 2004
Einband: Hardcover
Zustand: acceptable