Probability and random process for electrical engineering [Book].
Material type: TextPublication details: New Delhi Pearson 2013Edition: 2ndISBN:- 9788131709177
- 519.2024
- 519.2024
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | COMSATS University Wah Campus | 519.2024 GAR (Browse shelf(Opens below)) | Available | 10004000011389 | ||
Books | COMSATS University Wah Campus | 519.2024 GAR (Browse shelf(Opens below)) | Available | 10004000011390 | ||
Books | COMSATS University Wah Campus | 519.2024 GAR (Browse shelf(Opens below)) | Available | 10004000018707 | ||
Books | COMSATS University Wah Campus | 519.2024 GAR (Browse shelf(Opens below)) | Available | 10004000022392 | ||
Books | COMSATS University Wah Campus Main | 519.2024 GAR 23320 (Browse shelf(Opens below)) | Available | 10004000023320 |
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519.201 PRO Essentials of probability theory for statisticians | 519.202 GAR Probability and Random Processes For Electrical Engineering | 519.2024 GAR Probability and random process for electrical engineering | 519.2024 GAR Probability and random process for electrical engineering | 519.2024 GAR Probability and random process for electrical engineering | 519.2024 GAR Probability and random process for electrical engineering | 519.2024 HAY Probability and statistics for engineers |
Salient Features Numerous examples—a wide selection of fully worked-out real-world examples. Problems—over 700 in all
This textbook offers an interesting, straightforward introduction to probability and random processes. While helping students to develop their problem-solving skills, the book enables them to understand how to make the transition from real problems to probability models for those problems. To keep students motivated, the author uses a number of practical applications from various areas of electrical and computer engineering that demonstrate the relevance of probability theory to engineering practice. Discrete-time random processes are used to bridge the transition between random variables and continuous-time random processes. Additional material has been added to the second edition to provide a more substantial introduction to random processes.
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