Introductory statistics

By: Wonnacott, Thomas HContributor(s): Wonnacott, Ronald JMaterial type: TextTextSeries: Wiley series in probability and mathematical statistics., Applied probability and statisticsPublication details: New York : Wiley, ©1990Edition: 5th edDescription: xvi, 711 pages : illustrations (some color)ISBN: 9780471615187; 0471615188 Subject(s): Statistics | Mathematical statisticsDDC classification: 519.5
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.
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.
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Glossary & Index

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.


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.

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