An introduction to probability and statistics
著者
書誌事項
An introduction to probability and statistics
（Wiley series in probability and mathematical statistics, . Texts and references section）
Wiley, c2001
2nd ed
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注記
Originally published: Introduction to probability theory and mathematical statistics. New York : Wiley, c1976, in series: Wiley series in probability and mathematical statistics
"A Wiley-Interscience publication."
Includes bibliographical references (p. 663-667) and indexes
内容説明・目次
内容説明
An introduction to the field of statistics, which assumes some prior knowledge of mathematics, but not of probability or statistics. The text is organized into three parts: part one covers the core of the probability topic; part two covers the foundations of statistical inference; and part three covers special topics. This edition has been updated to include problems, examples and figures. Its features include: over 350 worked examples; coverage of minimal sufficient statistics; and presentation of the theory of confidence intervals.
目次
- Probability
- Random Variables and Their Probability Distributions
- Moments and Generating Functions
- Multiple Random Variables
- Some Special Distributions
- Limit Theorems
- Sample Moments and Their Distributions
- Parametric Point Estimation
- Neyman-Pearson Theory of Testing of Hypotheses
- Some Further Results on Hypotheses Testing
- Confidence Estimation
- The General Linear Hypothesis
- Nonparametric Statistical Inference.
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