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RECORD NUMBER: 11 OF 19

OLS Field Name OLS Field Data
Main Title Statistical computing with R /
Author Rizzo, Maria L.
Publisher Chapman & Hall/CRC,
Year Published 2008
OCLC Number 165958428
ISBN 9781584885450; 1584885459
Subjects Mathematical statistics--Data processing. ; R (Computer program language) ; Programmeertalen. ; Statistiek. ; R (computerprogramma) ; R (Programm)--(DE-588)4705956-4 ; Statistische Analyse.--(DE-588)4116599-8 ; R
Internet Access
Description Access URL
http://www.loc.gov/catdir/enhancements/fy0740/2007034218-d.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016091710&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016091710&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0740/2007034218-d.html
Inhaltsverzeichnis http://bvbr.bib-bvb.de:8991/F?func=service&doc%5Flibrary=BVB01&doc%5Fnumber=016091710&line%5Fnumber=0001&func%5Fcode=DB%5FRECORDS&service%5Ftype=MEDIA
http://ILS-AP-P1/mm-info/CoverContent/84772c.pdf
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA276.45.R3R59 2008 Research Triangle Park Library/RTP, NC 02/24/2009
Collation xvi, 399 pages : illustrations ; 25 cm.
Notes
Includes bibliographical references (pages 375-393) and index.
Contents Notes
"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. One of the first books on these topics to feature R, Statistical Computing with R covers 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." "Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing."--Jacket. Probability and statistics review -- Methods for generating random variables -- Visualization of multivariate data -- Monte Carlo integration and variance reduction -- Monte Carlo methods in inference -- Bootstrap and jackknife -- Permutation tests -- Markov chain Monte Carlo methods -- Probability density estimation -- Numerical methods in R -- A. Notation -- B. Working with data frames and arrays.