Introduction to probability and statistics : principles and applications for engineering and the computing sciences /
J. Susan MIlton, Jesse C. Arnold.
- 4 ed.
- Boston : McGraw Hill, 2003.
- 798 p. : il., grafs., ejem, etc.
Cap. 1. Introduction to probability and counting -- 2. Some probability laws -- 3. Discrete distributions -- 4. Continuous distributions -- 5. Joint distributions -- 6. Descriptive statistics -- 7. Estimation -- 8. Inferences on the mean and variance of a distribution -- 9. Inferences on proportions -- 10. Comparing two means and two variances -- 11. Simple linear regression and correlation -- 12. Multiple linear regression models -- 13. Analysis of variance -- 14. Factorial experiments -- 15. Categorical data -- 16. Statistical quality control.