John E. Freund's Mathematical Statistics with Applications
United States Edition
7th Edition
Published on 20. November 2003
Book
Hardback
624 pages
978-0-13-142706-8 (ISBN)
Description
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.
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.
More details
Edition
7th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 179 mm
Width: 244 mm
Thickness: 25 mm
Weight
1024 gr
ISBN-13
978-0-13-142706-8 (9780131427068)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Irwin. Miller | Marylees Miller | John E. Freund
John E. Freund's Mathematical Statistics
United States Edition
Book
08/1998
6th Edition
Pearson
€87.89
Article exhausted; check for reprint
Content
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.
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.