Probability and statistical inference
著者
書誌事項
Probability and statistical inference
（Wiley series in probability and mathematical statistics, . Probability and statistics）
Wiley, c1996
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注記
"A Wiley-Interscience publication"
Includes index
内容説明・目次
内容説明
This book is unique in its emphasis on understanding "why" over "how to." Rather than relying on computer software packages, it provides the mathematical foundation readers need to carry out various procedures using a variety of packages. It stresses integrating the knowledge gained in the book rather than training the user in isolated skills or concepts.
目次
- Experiments, Sample Spaces, and Events
- Probability
- Combinatorial Probability
- Conditional Probability
- Independence
- Markov Chains
- Random Variables: Univariate Case
- Random Variables: Multivariate Case
- Expectation
- Some Probability Models
- Limit Theorems
- Outline of Inferential Statistics
- Estimation
- Testing Statistical Hypotheses
- Discrimination
- Linear Models
- Rank Methods
- Analysis of Categorical Data
- Appendices
- Index.
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