- Category: Books » Mathematics » Probability & Statistics - General
- Format: Hardcover Learn more about the Hardcover format using Tower WIKI.
- Publisher: Chapman & Hall/CRC
- ISBN: 1420086782
- WAPI (Tower ID): 112062402
- Release Date: January 15, 2009
- Average Customer Review: There are no customer reviews yet. Be the first to write a review!
- Tower.com Sales Rank: #743877 in Books (See Top 100 Books Bestsellers)
- #6630 in Mathematics (See Top 100 Mathematics Bestsellers)
- #1154 in Probability & Statistics - General (See Top 100 Probability & Statistics - General Bestsellers)
|
|
|
|||||||||||||||||||||||
|
|
Product DescriptionRun a Quick Search on "Computational Statistics" by Gunter Sawitzki to Browse Related Products:Browse more products related to "Computational Statistics"Browse more products related to "Gunter Sawitzki"Publisher's noteBased on a one-semester course taught by the author, this text provides a concise introduction to the statistical software package R and its use in computational statistics. It covers the basics of R, including importing data, programming, and graphics. The author also explores regression topics, such as linear, nonparametric, and functional regression; statistical distributions; and multivariate statistics. Integrating R code throughout, the text includes numerous examples and figures to illustrate the methods, provides all data sets and code on CRAN, and contains many exercises, enabling its use as a course text or for self-study. AnnotationBased on a one-semester course taught by the author, this text provides a concise introduction to the statistical software package R and its use in computational statistics. It covers the basics of R, including importing data, programming, and graphics. The author also explores regression topics, such as linear, nonparametric, and functional regression; statistical distributions; and multivariate statistics. Integrating R code throughout, the text includes numerous examples and figures to illustrate the methods, provides all data sets and code on CRAN, and contains many exercises, enabling its use as a course text or for self-study. If You Enjoy "Computational Statistics (Hardcover)", May We Also Recommend:Customer Reviews for "Computational Statistics (Hardcover)" by Gunter Sawitzki (Author)There are no customer reviews yet. Be the first to write a review! Probability & Statistics - General BestsellersMathematics Bestselling Books
Explore More Great Tower Sales & Specials
Books Bestsellers
| |||||||||||||||||||||||||||
|
