Statistical Computing with R /
Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditiona...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton :
CRC Press, Taylor & Francis Group,
2019
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| Edition: | Second Edition |
| Series: | The R series
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| Subjects: | |
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| 050 | 0 | 0 | |a QA 276.45.R3 |
| 090 | |a QA 276.45.R3 |b R59 2019 | ||
| 100 | 1 | |a Rizzo, Maria L., |e author | |
| 245 | 1 | 0 | |a Statistical Computing with R / |c Maria L. Rizzo |
| 250 | |a Second Edition | ||
| 264 | 1 | |a Boca Raton : |b CRC Press, Taylor & Francis Group, |c 2019 | |
| 264 | 4 | |c ©2019 | |
| 300 | |a xiv, 474 pages ; |c 25 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a The R series | |
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, Statistical Computing with R, Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. | ||
| 650 | 0 | |a Mathematical statistics |x Data processing | |
| 650 | 0 | |a Statistics |x Data processing | |
| 650 | 0 | |a R (Computer program language) | |
| 830 | 0 | |a The R series | |
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