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Probability and Stochastic Processes 3e by Yates & Goodman INTERNATIONAL EDITION
US $35.00
Approximately£25.91
Condition:
New
A new, unread, unused book in perfect condition with no missing or damaged pages. See the seller's listing for full details.
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US $3.99 (approx £2.95) FedEx International Economy from Abroad.
Located in: LUCKNOW, UTTAR PRADESH, India
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Estimated between Tue, 5 Aug and Wed, 6 Aug to 94104
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eBay item number:295145119664
Item specifics
- Condition
- Series
- INTERNATIONAL EDITION PAPERBACK
- Subject Area
- Applied Mathematics, Data Analysis
- Educational Level
- Adult & Further Education
- Features
- International Edition
- Level
- Advanced, Technical
- Subject
- Mathematics
- ISBN
- 9781118324561
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118324560
ISBN-13
9781118324561
eBay Product ID (ePID)
168203631
Product Key Features
Number of Pages
512 Pages
Publication Name
Probability and Stochastic Processes : a Friendly Introduction for Electrical and Computer Engineers
Language
English
Subject
Probability & Statistics / Stochastic Processes, Probability & Statistics / General
Publication Year
2014
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
26.5 Oz
Item Length
9.1 in
Item Width
7.3 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
Dewey Edition
21
Dewey Decimal
519.2
Synopsis
This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester., This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first five chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.
LC Classification Number
QA273
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