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This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780471272144

Missing dust jacket; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

This is a USED book, it is subject to external and interior wear including, underlining, highlighting, annotations, water damage, minor scuffs and tears. This is a donated book accepted as is. Stickers and sticker residue on the cover should be expected, as well as spine wear from use. There are NO codes or disc(s) included. All items ship Monday-Friday within 2-3 business days. Thank you for supporting Goodwill of OC.

100% Customer Satisfaction Guaranteed ! The book shows some signs of wear from use but is a good readable copy. Cover in excellent condition. Binding tight. Pages in great shape, no tears. Not contain access codes, cd, DVD.

Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good.

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.2

Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.2

Size: 7x1x9; Pages are crisp and clean, no marking. Cover is verygood. Binding is tight/good.

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.