Full Record Display for the EPA National Library Catalog


Main Title Applied regression analysis /
Author Draper, Norman Richard,
Other Authors
Author Title of a Work
Smith, Harry
Publisher Wiley,
Year Published 1998
OCLC Number 37141097
ISBN 0471170828; 9780471170822
Subjects Regression analysis ; Regressionsanalyse ; Regressieanalyse ; REGRESSäAO (ANâALISE) ; Analyse de régression
Internet Access
Description Access URL
Data files for examples and exercises ftp://ftp.wiley.com/public/sci_tech_med/applied_regression
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=008127661&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=008127661&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Contributor biographical information http://catdir.loc.gov/catdir/bios/wiley042/97017969.html
Publisher description http://catdir.loc.gov/catdir/description/wiley033/97017969.html
The John Morgan Society Fund Home Page http://hdl.library.upenn.edu/1017.12/366259
Cover http://swbplus.bsz-bw.de/bsz067460372cov.htm
Library Call Number Additional Info Location Last
EKCM  QA278.2.D7 1998 CEMM/GEMMD Library/Gulf Breeze,FL 06/21/2002
Edition 3rd ed.
Collation xvii, 706 pages : illustrations ; 26 cm
Notes "A Wiley-Interscience publication." "The diskette that previously accompanied the book has now been replaced with an FTP site."--Page [xvii]. Includes bibliographical references and indexes.
Contents Notes Preface -- About the software -- Basic prerequisite knowledge -- Fitting a straight line by least squares -- Checking the straight line fit --Fitting straight lines: special topics -- Regression in matrix terms: Straight line case -- The general regression situation -- Extra sums of squares and tests for several parameters being zero -- Serial correlation in the residuals and the Durbin-Watson test -- More on checking fitted models -- Multiple regression: special topics -- Bias in regression estimates, and expected values of mean squares and sums of squares -- On worthwhile regressions, big F's, and R2 -- Models containing functions of the predictors, including polynomial models -- Transformation of the response variable -- "Dummy" variables -- Selecting the "Best" regression equation -- Ill-conditioning in regression data -- Ridge regression -- Generalized linear models (GLIM) -- Mixture ingredients as predictor variables -- The geometry of least squares -- More geometry of least squares -- Orthogonal polynomials and summary data -- Multiple regression applied to analysis of variance problems -- An introduction to nonlinear estimation -- Robust regression -- Resampling procedures (Bootstrapping) -- Bibliography -- True/false questions -- Answers to exercises -- Tables -- Index of authors associate with exercises -- Index. "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."--Publisher's information.
Place Published New York :
Access Notes System requirements for accompanying computer disk: Windows 3.1.
PUB Date Free Form c1998.
Series Title Traced Wiley series in probability and statistics Texts and references section
BIB Level m
Cataloging Source OCLC/T
LCCN 97017969
Merged OCLC records 62444368; 156931475; 773163445; 963324561; 966171738; 968019064; 969857083; 972831613; 976864967; 986566311; 988720591; 988794882; 1004443504; 1008861658; 1015439958; 1016182115; 1023832480; 1027357296; 1029394311; 1031623181; 1031830551; 1049064526; 1049736297; 1057108605; 1057979777; 1062028986; 1069338920; 1077829851; 1082510292; 1086237439; 1091131446
OCLC Time Stamp 20020619084723
Language eng
Origin OCLC
Type CAT
OCLC Rec Leader 01210cam 2200349 a 45020