Research Catalog

Title

Introductory statistics / Thomas H. Wonnacott, Ronald J. Wonnacott.

Author

Wonnacott, Thomas H., 1935-

Publication

New York : Wiley, c1990.

Items in the Library & Off-site

Holdings

Details

Additional Authors

Wonnacott, Ronald J.

Description

xvi, 711 p. : ill. (some col.); 25 cm.

Summary

An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.

Series Statement

Wiley series in probability and mathematical statistics. Applied probability and statistics

Uniform Title

Wiley series in probability and mathematical statistics. Applied probability and statistics.

Subject

• Mathematical statistics
• Statistics

Note

• R.J. Wonnacott's name appears first on the 4th ed.
• Includes index.

Bibliography (note)

• Bibliography: p.679-683.

Processing Action (note)

• committed to retain

Contents

Part I: Basic probability and statistics -- 1. The nature of statistics -- 2. Descriptive statistics -- 3. Probability -- 4. Probability distributions -- 5. Two random variables -- Part II: Inference for means and proportions -- 6. Sampling -- 7. Point estimation -- 8. Confidence intervals -- 9. Hypothesis testing -- 10. Analysis of variance (ANOVA) -- Part III: Regression: relating two or more variables -- 11. Fitting a line -- 12. Simple regression -- 13. Multiple regression -- 14. Regression extensions -- 15. Correlation -- Part IV: Topics in classical and Bayesian inference -- 16. Nonparametric and robust statistics 00 17. Chi-square tests -- 18. Maximum likelihood estimation -- 19. Bayesian inference -- 20. Bayesian decision theory.

ISBN

0471615188

LCCN

^^^89032904^

Owning Institutions

Harvard Library