Introductory statistics

著者

書誌事項

Introductory statistics

Thomas H. Wonnacott, Ronald J. Wonnacott

（Wiley series in probability and mathematical statistics, . Applied probability and statistics）

Wiley, c1990

5th ed

  • : Wiley international ed

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注記

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

Bibliography: p. 679-683

Includes index

内容説明・目次

巻冊次

: Wiley international ed ISBN 9780471517337

内容説明

This is an abbreviated version of the authors' textbook "Introductory Statistics for Business and Economics". Designed for students of business, management, and mathematical statistics, it covers all the material in the parent text, except the section on special business and economics topics.

目次

  • 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 (ANOVA)
  • 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
  • Appendices
  • Tables
  • References
  • Answers to Odd-Numbered Problems
  • Glossary of Common Symbols
  • Index of Examples and Problems
  • Index.
巻冊次

ISBN 9780471615187

内容説明

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.

目次

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 (ANOVA). 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. Appendices. Tables. References. Answers to Odd-Numbered Problems. Glossary of Common Symbols. Index of Examples and Problems. Index.

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