000 02213nam a2200229 a 4500
020 _a9780471615187
020 _a0471615188
082 _a519.5
_bWON
100 _aWonnacott, Thomas H.
245 _aIntroductory statistics
250 _a5th ed.
260 _aNew York :
_bWiley,
_c©1990.
300 _axvi, 711 pages :
_billustrations (some color) ;
490 _aWiley series in probability and mathematical statistics., Applied probability and statistics.
500 _aGlossary & Index
505 _aPart 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.
520 _a 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.
650 _aStatistics.
650 _aMathematical statistics.
700 _aWonnacott, Ronald J.
942 _cREF
999 _c35607
_d35607