| Features of this Text.
Preface.
1. Experiments, Models, and Probabilities.
2. Discrete Random Variables.
3. Continuous Random Variables.
4. Pairs of Random Variables.
5. Random Vectors.
6. Sums of Random Variables.
7. Parameter Estimation Using the Sample Mean.
8. Hypothesis Testing.
9. Estimation of a Random Variable.
10. Stochastic Processes.
11. Random Signal Processing.
12. Markov Chains.
Appendix A: Families of Random Variables.
Appendix B: A Few Math Facts.
References.
Index.
|