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Main Title Applied regression analysis /
Author Draper, Norman Richard.
Other Authors
Author Title of a Work
Smith, Harry,
Publisher Wiley,
Year Published 1981
OCLC Number 06486827
ISBN 0471029955; 9780471029953
Subjects Regression analysis ; Méthodes statistiques ; Analyse statistique ; Analyse de régression ; Anwendung ; Regressionsanalyse ; Regressieanalyse ; Régression, analyse de
Additional Subjects Regression analysis
Internet Access
Description Access URL
Contributor biographical information http://catdir.loc.gov/catdir/enhancements/fy0607/80017951-b.html
Publisher description http://catdir.loc.gov/catdir/enhancements/fy0607/80017951-d.html
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=001303370&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=2308144&custom_att_2=simple_viewer
Inhaltsverzeichnis http://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=2308144&custom%5Fatt%5F2=simple%5Fviewer
Library Call Number Additional Info Location Last
EKBM  QA278.2.D7 Research Triangle Park Library/RTP, NC 01/01/1988
ELBM  QA278.2.D7 1980 AWBERC Library/Cincinnati,OH 01/01/1988
ELDM  QA278.2.D7 1981 CCTE/GLTED Library/Duluth,MN 08/02/2002
EMBM  QA278.2.D7 1981 NRMRL/GWERD Library/Ada,OK 05/24/1996
ESBM  QA278.2.D7 1981 CPHEA/PESD Library/Corvallis,OR 09/06/2022
Edition 2d ed.
Collation xiv, 709 pages : illustrations ; 24 cm
Notes Includes bibliographical references (pages 675-699) and index.
Contents Notes 1. Fitting a straight line by least squares -- 2. The matrix approach to linear regression -- 3. The examination of residuals -- 4. Two predictor variables -- 5. More complicated models -- 6. Selecting the "best" regression equation -- 7. Two specific problems -- 8. Multiple regression and mathematical model building -- 9. Multiple regression applied to analysis of variance problems -- 10. An introduction to nonlinear estimation. An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.
Place Published New York
Access Notes Also issued online.
Title Ser Add Ent Wiley series in probability and mathematical statistics.
PUB Date Free Form ©1981
Series Title Traced Wiley series in probability and mathematical statistics
Series Title Untraced Wiley series in probability and mathematical statistics.
BIB Level m
Document Type BC
Medium unmediated
Content text
Carrier volume
Cataloging Source OCLC/T
LCCN 80017951
Merged OCLC records 985779037; 986003503; 986416601; 1166871767; 1166998634; 1172439119; 1277096555
OCLC Time Stamp 20220901213023
Language eng
Origin OCLC
Type CAT
OCLC Rec Leader 05551cam 2200817 a 45010