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OLS Field Name OLS Field Data
Main Title Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS /
Author Heiberger, Richard M.,
Other Authors
Author Title of a Work
Holland, Burt.
Publisher Springer,
Year Published 2004
OCLC Number 55067119
ISBN 0387402705; 9780387402703
Subjects Mathematical statistics--Data processing. ; R (Computer program language) ; Statistiek. ; Grafische methoden. ; S-Plus. ; R (computerprogramma) ; SAS (software) ; R (Programm)--(DE-588)4705956-4 ; S-PLUS.--(DE-588)4321162-8 ; SAS (Programm)--(DE-588)4195685-0 ; Statistische Analyse.--(DE-588)4116599-8 ; R ; SAS ; Statistik. ; Graphische Darstellung. ; Statistique mathematique--Informatique ; Statistique--Informatique ; R (Langage de programmation)
Internet Access
Description Access URL
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012863880&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://swbplus.bsz-bw.de/bsz106290711inh.htm
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0817/2004048200-d.html
Vorwort 1 http://swbplus.bsz-bw.de/bsz106290711vor.htm
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QA276.4.H445 2004 Research Triangle Park Library/RTP, NC 08/16/2005
Collation xxiv, 729 pages : illustrations ; 25 cm.
Notes
Includes bibliographical references (pages 709-719) and index.
Contents Notes
"This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print." "This book can serve as a standalone text for statistics majors at the master's level and for other quantitatively oriented disciplines at the doctoral level. In-depth discussions of regression analysis, analysis of variance, and design of experiments are followed by introductions to analysis of discrete bivariate data, nonparametrics, logistic regression, and ARIMA time series modeling. The authors illustrate classical concepts and techniques with a variety of case studies using both newer graphical tools and traditional tabular displays."--Jacket.