Probability and stochastic processes: a friendly introduction for electrical and computer engineers
"In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the...
Gespeichert in:
Beteiligte Personen: | , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
[2014]
|
Ausgabe: | Third edition. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781118324561/?ar |
Zusammenfassung: | "In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"-- |
Beschreibung: | Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains. - Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on January 14, 2019) |
Umfang: | 1 Online-Ressource (xvi, 496 Seiten) |
ISBN: | 9781118804384 1118804384 9781118324561 |
Internformat
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500 | |a Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains. - Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on January 14, 2019) | ||
520 | |a "In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"-- | ||
650 | 0 | |a Probabilities | |
650 | 0 | |a Stochastic processes | |
650 | 2 | |a Probability | |
650 | 2 | |a Stochastic Processes | |
650 | 4 | |a Probabilités | |
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650 | 4 | |a probability | |
650 | 4 | |a MATHEMATICS ; Probability & Statistics ; General | |
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author | Yates, Roy D. Goodman, David J. 1939- |
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dewey-search | 519.2 |
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discipline | Mathematik |
edition | Third edition. |
format | Electronic eBook |
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spelling | Yates, Roy D. VerfasserIn aut Probability and stochastic processes a friendly introduction for electrical and computer engineers Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University Third edition. Hoboken, NJ John Wiley & Sons, Inc. [2014] 1 Online-Ressource (xvi, 496 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains. - Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on January 14, 2019) "In Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, readers are able to grasp the concepts of probability and stochastic processes, and apply these in professional engineering practice. The 3rd edition also includes quiz solutions within the appendix of the text. The resource presents concepts clearly as a sequence of building blocks identified as an axiom, definition or theorem. This approach allows for a better understanding of the material, which can be utilized in solving practical problems"-- Probabilities Stochastic processes Probability Stochastic Processes Probabilités Processus stochastiques probability MATHEMATICS ; Probability & Statistics ; General Goodman, David J. 1939- VerfasserIn aut 9781118324561 Erscheint auch als Druck-Ausgabe 9781118324561 |
spellingShingle | Yates, Roy D. Goodman, David J. 1939- Probability and stochastic processes a friendly introduction for electrical and computer engineers Probabilities Stochastic processes Probability Stochastic Processes Probabilités Processus stochastiques probability MATHEMATICS ; Probability & Statistics ; General |
title | Probability and stochastic processes a friendly introduction for electrical and computer engineers |
title_auth | Probability and stochastic processes a friendly introduction for electrical and computer engineers |
title_exact_search | Probability and stochastic processes a friendly introduction for electrical and computer engineers |
title_full | Probability and stochastic processes a friendly introduction for electrical and computer engineers Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University |
title_fullStr | Probability and stochastic processes a friendly introduction for electrical and computer engineers Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University |
title_full_unstemmed | Probability and stochastic processes a friendly introduction for electrical and computer engineers Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University |
title_short | Probability and stochastic processes |
title_sort | probability and stochastic processes a friendly introduction for electrical and computer engineers |
title_sub | a friendly introduction for electrical and computer engineers |
topic | Probabilities Stochastic processes Probability Stochastic Processes Probabilités Processus stochastiques probability MATHEMATICS ; Probability & Statistics ; General |
topic_facet | Probabilities Stochastic processes Probability Stochastic Processes Probabilités Processus stochastiques probability MATHEMATICS ; Probability & Statistics ; General |
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