Probability and stochastic processes : a friendly introduction for electrical and computer engineers / Roy D Yates; David J Goodman
By: Yates, Roy D
.
Contributor(s): Goodman, David J
.
Material type: 


Contents:
Chapter 1. Experiments, Models, and Probabilities Chapter 2. Sequential Experiments Chapter 3. Discrete Random Variables Chapter 4. Continuous Random Variables Chapter 5. Multiple Random Vectors Chapter 6. Probability Models of Derived Random Variables Chapter 7. Conditional Probability Models Chapter 8. Random Vectors Chapter 9. Sums of Random Variables Chapter 10. The Sample Mean Chapter 11. Hypothesis Testing Chapter 12. Estimation of a Random Variable Chapter 13. Stochastic Processes
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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KCST Library | 519.2 Ya Pr (Browse shelf) | Available | 1000000415 |
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519.2 Me The methods of distances in the theory of probability and statistics / | 519.2 Pa Mo Modern probability theory and its applications / | 519.2 Ro In Introduction to probability models / | 519.2 Ya Pr Probability and stochastic processes : | 519.2024 Le Pr Probability, statistics, and random processes for electrical engineering / | 519.2076 Sp Pr Probability and statistics / | 519.2076 Sp Pr Probability and statistics / |
Chapter 1. Experiments, Models, and Probabilities Chapter 2. Sequential Experiments Chapter 3. Discrete Random Variables Chapter 4. Continuous Random Variables Chapter 5. Multiple Random Vectors Chapter 6. Probability Models of Derived Random Variables Chapter 7. Conditional Probability Models Chapter 8. Random Vectors Chapter 9. Sums of Random Variables Chapter 10. The Sample Mean Chapter 11. Hypothesis Testing Chapter 12. Estimation of a Random Variable Chapter 13. Stochastic Processes
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