Probability Theory and Statistical Applications: A Profound Treatise for Self-Study

Zornig, Peter

Probability Theory and Statistical Applications: A Profound Treatise for Self-Study - Berlin De Gruyter 2016 - 284p - De Gruyter Graduate .

1. Mathematics Revision
2. Introduction to Probability
3. Finite Sample Space
4. Conditional Probability and Independence
5. One-Dimensional Random Variables
6. Function of Random Variables
7. Bi-Dimensional Random Variables
8. Characteristics of Random Variables
9. Discrete Probability Models
10. Continuous Probability Models
11. Generating Function in Probability
12. Sums of Many Random Variable
13. Samples and Sampling Distribution
14. Estimation of Parameters
15. Hypothesis Tests

9783110363197


Mathematical Statistics
Probabilities

519.5 / ZOR
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