by Irwin Miller and Marylees Miller
List price: $148.00
For a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics.
This classic calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking, the teaching of statistics, and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations by including computer exercises.
Features
1. Introduction.
2. Probability.
3. Probability Distributions and Probability Densities.
4. Mathematical Expectation.
5. Special Probability Distributions.
6. Special Probability Densities.
7. Functions of Random Variables.
8. Sampling Distributions.
9. Decision Theory.
10. Point Estimation.
11. Interval Estimation.
12. Hypothesis Testing.
13. Tests of Hypotheses Involving Means, Variances, and Proportions.
14. Regression and Correlation.
15. Design and Analysis of Experiments.
16. Nonparametric Tests.
Irwin Miller and Marylees Miller
ISBN13: 978-0131427068For a two-semester or three-quarter calculus-based course in Introduction to Mathematical Statistics.
This classic calculus-based introduction to the theory and application of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the latest in statistical thinking, the teaching of statistics, and current practices. New to this edition is the addition of an applications section at the end of each chapter that deals with the theory presented. Further emphasis has been placed on the use of computers in performing statistical calculations by including computer exercises.
Features
Table of Contents
1. Introduction.
2. Probability.
3. Probability Distributions and Probability Densities.
4. Mathematical Expectation.
5. Special Probability Distributions.
6. Special Probability Densities.
7. Functions of Random Variables.
8. Sampling Distributions.
9. Decision Theory.
10. Point Estimation.
11. Interval Estimation.
12. Hypothesis Testing.
13. Tests of Hypotheses Involving Means, Variances, and Proportions.
14. Regression and Correlation.
15. Design and Analysis of Experiments.
16. Nonparametric Tests.