Paul L. Meyer

Introductory probability and statistical applications : 2nd ed. - 2nd ed. - New Delhi: IBH Publication, [c1970] - 367 p

1. Introduction to probability;
2. Finite sample spaces;
3. Conditional probability and independence;
4. One-dimensional random variables;
5. Functions of random variables;
6. Two-and higher dimensional random variables;
7. Further characterization of random variables;
8. The poisson and other discrete random variables;
9. Some important continuous variables;
10. The moment-generating function;
11. Application to reliability theory;
12. Sums of random variables;
13. Samples and sampling distributions;
14. Estimation of parameters;
15. Testing hypothesis.

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Mathematics

QA273