Modern applied statistics with S-Plus
著者
書誌事項
Modern applied statistics with S-Plus
（Statistics and computing）
Springer, 1997
2nd ed
- : hard
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This is a guide to using S-PLUS to perform statistical analyses. It provides both an introduction to the use of S-PLUS and a course in modern statistical methods. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification.
目次
- The S language
- graphical output
- programming in S
- distributions and data summaries
- linear statistical models
- generalized linear models
- robust statistics
- non-linear models
- random and mixed effects
- modern regression
- survival analysis
- multivariate analysis
- tree-based methods
- time series
- spatial statistics
- classification. Appendices: datasets and software
- common S-PLUS functions
- using S-PLUS libraries.
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