Original price was: $120.00.$24.99Current price is: $24.99.
Access Computational Statistics An Introduction to R 1st Edition Now. Discount up to 90%
| Full Title | Computational Statistics An Introduction to R 1st Edition |
|---|---|
| Author(s) | Günther Sawitzki |
| Edition | 1st Edition |
| ISBN | 9781439890981, 9780367241988, 9781420086782, 9780429146275, 9781040069080, 9781420086812, 9781439890967, 9781466500914 |
| Publisher | Chapman & Hall |
| Format | PDF and EPUB |
Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R. Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.
Original price was: $120.00.$24.99Current price is: $24.99.
Access Computational Statistics An Introduction to R 1st Edition Now. Discount up to 90%
| Full Title | Computational Statistics An Introduction to R 1st Edition |
|---|---|
| Author(s) | Günther Sawitzki |
| Edition | 1st Edition |
| ISBN | 9781040069080, 9780367241988, 9781439890981, 9781420086812, 9780429146275, 9781420086782, 9781466500914 |
| Publisher | Chapman & Hall |
| Format | PDF and EPUB |
Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and computing. This introduction covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. It uses a range of examples to demonstrate how R can be employed to tackle statistical problems. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R. Accessible to a broad audience, this book explores key topics in data analysis, regression, statistical distributions, and multivariate statistics. Full of examples and with a color insert, it helps readers become familiar with R.
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