This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real--life examples and are relatively self--contained, making adaptable to a variety of courses.
BASIC PROBABILITY AND STATISTICS. The Nature of Statistics. Descriptive Statistics. Probability. Probability Distributions. Two Random Variables. INFERENCE FOR MEANS AND PROPORTIONS. Sampling. Point Estimation. Confidence Intervals. Hypothesis Testing. Analysis of Variance. REGRESSION: RELATING TWO OR MORE VARIABLES. Fitting a Line. Simple Regression. Multiple Regression. Regression Extensions. Correlation. TOPICS IN CLASSICAL AND BAYESIAN INFERENCE. Nonparametric and Robust Statistics. Chi Square Tests. Maximum Likelihood Estimation. Bayesian Inference. Bayesian Decision Theory. SPECIAL TOPICS FOR BUSINESS AND ECONOMICS. Decision Trees. Index Numbers. Sampling Designs. Time Series. Simultaneous Equations. Appendices. Tables. References. Answers to Odd--Numbered Problems. Glossary of Common Symbols. Index.
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- ID: 9780471615170
4th Revised edition
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