Applied regression analysis / Norman R. Draper, Harry Smith.

By: Draper, Norman Richard Contributor(s): Smith, Harry, 1923-2012 Material type: Text

TextLanguage: English Series: Wiley-Interscience publication | Wiley series in probability and statisticsPublication details: New York ; Chichester : John Wiley, c1998. Edition: 3rd edDescription: xvii, 706 p. : ill. ; 26 cm. +ISBN: 0471170828 (hbk); 9788126531738; 9780471170822Subject(s): Regression analysisDDC classification: 519.536 LOC classification: QA278.2 | .D7 1998Online resources: WorldCat details | E-book Fulltext

Contents:

TOC 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.

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	519.536 DRA 2011 (Browse shelf(Opens below))		Not For Loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	519.536 DRA 2011 (Browse shelf(Opens below))	C-1	Not For Loan		25684
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	519.536 DRA 2011 (Browse shelf(Opens below))	C-2	Checked out	28/08/2019	25686
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	519.536 DRA 2011 (Browse shelf(Opens below))	C-3	Available		25685

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Online version:
Draper, Norman Richard.
Applied regression analysis.
New York : Wiley, c1998
(OCoLC)765771922

Includes bibliographical references (p. 593-603) and indexes.

TOC 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.

Tahur Ahmed

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