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Probability and probabilistic reasoning for electrical engineering
Terdapat bibliografi dan indeks.
CONTENTS:
Chapter 1: Background, Events, and Data
Chapter 2: Classical Probability
Chapter 3: Probability Foundations
Chapter 4: Describing Probability I: Countable
Chapter 5: Describing Probability II: Uncountable and Distributions
Chapter 6: Describing Probability III: Uncountable and Densities
Chapter 7: Multivariate Distribution Functions and Densities
Chapter 8: Functions of Random Variables
Chapter 9: Expectation and Moments
Chapter 10: Linear Systems, Signals, and Filtering
Chapter 11: Discrete Conditional Probability
Chapter 12: Mixed Conditional Probability
Chapter 13: MAP, MLE, and Neyman-Pearson Rules
Chapter 14: Independence
Chapter 15: Characteristic Functions
Chapter 16: Probability Bounds and Sums
Chapter 17: Conditional Expectation
Chapter 18: Bayesian Inference
Chapter 19: Limits and Laws of Large Numbers
Chapter 20: Random Processes
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