Probability & Random Processes for and 45 similar items
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Probability & Random Processes for Electrical & Computer Engineers / Hardcover
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Estimated to arrive by Fri, May 2nd.
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FREE via USPS Media Mail (2 to 9 business days) to United States
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View full item details »
Shipping options
Estimated to arrive by Fri, May 2nd.
Details
FREE via USPS Media Mail (2 to 9 business days) to United States
Offer policy
OBO - Seller accepts offers on this item.
Details
Return policy
Full refund available within 30 days
Purchase protection
Payment options
PayPal accepted
PayPal Credit accepted
Venmo accepted
PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Nuvei accepted
Item traits
Category: | |
---|---|
Quantity Available: |
Only one in stock, order soon |
Condition: |
Good |
Format: |
Hardcover |
Type: |
Textbook |
Language: |
English |
Publication Year: |
2006 |
Personalized: |
Yes No |
Number of Pages: |
646 Pages |
Publication Name: |
Probability and Random Processes for Electrical and Computer Engineers |
Publisher: |
Cambridge University Press |
Subject: | |
Item Height: |
1.3 in |
Item Weight: |
48.7 Oz |
Subject Area: |
Mathematics/Computers/Technology & Engineering |
Author: |
John A. Gubner |
Item Length: |
9.8 in |
Item Width: |
6.7 in |
Listing details
Seller policies: | |
---|---|
Price discount: |
10% off w/ $99.00 spent |
Posted for sale: |
April 22 |
Item number: |
1741529583 |
Item description
Condition: Good. BOX packed with padding. (See Photos)! Pages: not written on, clean, bright, odor free, fine edges. Cover: clean, bright, light bumping to edges, small scuff at back bottom edge. Ships from California. Ships same or next day (weekdays and Saturdays)! ABOUT: The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis. With over 300 worked examples, some 800 homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students.
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