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The Resource Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource)
Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource)
Resource Information
The item Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 Summary
 Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for nonstatisticians and as a reference for researchers. It also provides a bridge between a twosemester introduction to statistical methods and a thoeretical linear models course. Applied Regression Analysis emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts. The data sets used in the book are available on the Internet
 Language

 eng
 eng
 Edition
 Second Edition.
 Extent
 1 online resource (677 p.)
 Note
 Description based upon print version of record
 Contents

 Review of Simple Regression
 to Matrices
 Multiple Regression in Matrix Notation
 Analysis of Variance and Quadratic Forms
 Case Study: Five Independent Variables
 Geometry of Least Squares
 Model Development: Variable Selection
 Polynomial Regression
 Class Variables in Regression
 Problem Areas in Least Squares
 Regression Diagnostics
 Transformation of Variables
 Collinearity
 Case Study: Collinearity Problems
 Models Nonlinear in the Parameters
 Case Study: Response Curve Modeling
 Analysis of Unbalanced Data
 Mixed Effects Models
 Case Study: Analysis of Unbalanced Data
 Isbn
 9781280010309
 Label
 Applied Regression Analysis : A Research Tool
 Title
 Applied Regression Analysis
 Title remainder
 A Research Tool
 Statement of responsibility
 by John O. Rawlings, Sastry G. Pantula, David A. Dickey
 Language

 eng
 eng
 Summary
 Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for nonstatisticians and as a reference for researchers. It also provides a bridge between a twosemester introduction to statistical methods and a thoeretical linear models course. Applied Regression Analysis emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts. The data sets used in the book are available on the Internet
 http://library.link/vocab/creatorName
 Rawlings, John O
 Dewey number
 519.5/36
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut

 hQGAsx5Um6s
 tSl5Fx17oM
 0My20bHA8s
 Language note
 English
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 Pantula, Sastry G.
 Dickey, David A.
 Series statement
 Springer Texts in Statistics,
 http://library.link/vocab/subjectName

 Distribution (Probability theory
 Mathematics
 Mathematical statistics
 Probability Theory and Stochastic Processes
 Applications of Mathematics
 Statistical Theory and Methods
 Label
 Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references (p. [635]646) and indexes
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Review of Simple Regression  to Matrices  Multiple Regression in Matrix Notation  Analysis of Variance and Quadratic Forms  Case Study: Five Independent Variables  Geometry of Least Squares  Model Development: Variable Selection  Polynomial Regression  Class Variables in Regression  Problem Areas in Least Squares  Regression Diagnostics  Transformation of Variables  Collinearity  Case Study: Collinearity Problems  Models Nonlinear in the Parameters  Case Study: Response Curve Modeling  Analysis of Unbalanced Data  Mixed Effects Models  Case Study: Analysis of Unbalanced Data
 Dimensions
 unknown
 Edition
 Second Edition.
 Extent
 1 online resource (677 p.)
 Form of item
 online
 Isbn
 9781280010309
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/b98890
 Specific material designation
 remote
 System control number

 (CKB)111087027063524
 (EBL)3035234
 (SSID)ssj0000104801
 (PQKBManifestationID)11130423
 (PQKBTitleCode)TC0000104801
 (PQKBWorkID)10085387
 (PQKB)11240195
 (DEHe213)9780387227535
 (MiAaPQ)EBC3035234
 (EXLCZ)99111087027063524
 Label
 Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource)
 Note
 Description based upon print version of record
 Bibliography note
 Includes bibliographical references (p. [635]646) and indexes
 Carrier category
 online resource
 Carrier category code

 cr
 Content category
 text
 Content type code

 txt
 Contents
 Review of Simple Regression  to Matrices  Multiple Regression in Matrix Notation  Analysis of Variance and Quadratic Forms  Case Study: Five Independent Variables  Geometry of Least Squares  Model Development: Variable Selection  Polynomial Regression  Class Variables in Regression  Problem Areas in Least Squares  Regression Diagnostics  Transformation of Variables  Collinearity  Case Study: Collinearity Problems  Models Nonlinear in the Parameters  Case Study: Response Curve Modeling  Analysis of Unbalanced Data  Mixed Effects Models  Case Study: Analysis of Unbalanced Data
 Dimensions
 unknown
 Edition
 Second Edition.
 Extent
 1 online resource (677 p.)
 Form of item
 online
 Isbn
 9781280010309
 Media category
 computer
 Media type code

 c
 Other control number
 10.1007/b98890
 Specific material designation
 remote
 System control number

 (CKB)111087027063524
 (EBL)3035234
 (SSID)ssj0000104801
 (PQKBManifestationID)11130423
 (PQKBTitleCode)TC0000104801
 (PQKBWorkID)10085387
 (PQKB)11240195
 (DEHe213)9780387227535
 (MiAaPQ)EBC3035234
 (EXLCZ)99111087027063524
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



Chinese Literature Translation ArchiveBorrow it401 W. Brooks St., RM 414, Norman, OK, 73019, US35.207487 97.447906

Engineering LibraryBorrow itFelgar Hall 865 Asp Avenue, Rm. 222, Norman, OK, 73019, US35.205706 97.445050

Fine Arts LibraryBorrow itCatlett Music Center 500 West Boyd Street, Rm. 20, Norman, OK, 73019, US35.210371 97.448244

Harry W. Bass Business History CollectionBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

History of Science CollectionsBorrow it401 W. Brooks St., Rm. 521NW, Norman, OK, 73019, US35.207487 97.447906

John and Mary Nichols Rare Books and Special CollectionsBorrow it401 W. Brooks St., Rm. 509NW, Norman, OK, 73019, US35.207487 97.447906


Price College Digital LibraryBorrow itAdams Hall 102 307 West Brooks St., Norman, OK, 73019, US35.210371 97.448244

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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.libraries.ou.edu/portal/AppliedRegressionAnalysisAResearchToolby/mPPGlnqDB6Y/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.libraries.ou.edu/portal/AppliedRegressionAnalysisAResearchToolby/mPPGlnqDB6Y/">Applied Regression Analysis : A Research Tool, by John O. Rawlings, Sastry G. Pantula, David A. Dickey, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.libraries.ou.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.libraries.ou.edu/">University of Oklahoma Libraries</a></span></span></span></span></div>