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Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. It includes R code for all examples and R notes to help explain the R programming concepts. This edition also features a new chapter on nonparametric regression and smoothing.
- Sales Rank: #4507431 in Books
- Published on: 2015-07-15
- Original language: English
- Dimensions: .10" h x .0" w x .10" l,
- Binding: Hardcover
- 475 pages
Review
Praise for the First Edition:
"… an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation."
—Tzvetan Semerdjiev, Zentralblatt Math, 2008, Vol. 1137
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