logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Computational Statistics: An Introduction to R by Günther Sawitzki ISBN 9781420086782, 1420086782

  • SKU: EBN-55540638
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

32 reviews
Instant download (eBook) Computational Statistics: An Introduction to R after payment.
Authors:Günther Sawitzki
Pages:274 pages.
Year:2009
Editon:1
Publisher:Chapman and Hall/CRC
File Size:4.41 MB
Format:pdf
ISBNS:9781420086782, 1420086782
Categories: Ebooks

Product desciption

(Ebook) Computational Statistics: An Introduction to R by Günther Sawitzki ISBN 9781420086782, 1420086782

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products