LEADER 05153nam 2200649Ia 450 001 9910139573103321 005 20170814191041.0 010 $a1-283-29481-8 010 $a9786613294814 010 $a1-118-15023-6 010 $a1-118-15024-4 035 $a(CKB)2550000000056521 035 $a(EBL)818791 035 $a(OCoLC)761319820 035 $a(SSID)ssj0000554342 035 $a(PQKBManifestationID)11330146 035 $a(PQKBTitleCode)TC0000554342 035 $a(PQKBWorkID)10514311 035 $a(PQKB)10924460 035 $a(MiAaPQ)EBC818791 035 $a(EXLCZ)992550000000056521 100 $a19920909d1993 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAlternative methods of regression$b[electronic resource] /$fDavid Birkes, Yadolah Dodge 210 $aNew York $cJohn Wiley$d1993 215 $a1 online resource (248 p.) 225 1 $aWiley Series in Probability and Statistics ;$vv.190 300 $aDescription based upon print version of record. 311 $a0-471-56881-3 320 $aIncludes bibliographical references and index. 327 $aAlternative Methods of Regression; Contents; Preface; Acknowledgments; 1. Linear Regression Analysis; 1.1 Introduction; 1.2 Example; 1.3 The Linear Regression Model; 1.4 Estimating the Regression Coefficients; 1.5 Testing the Significance of the Relationship; 1.6 The Need for Alternative Methods; 1.7 The Origin of the Word ""Regression""; Notes; References; 2. Constructing and Checking the Model; 2.1 Introduction; 2.2 Checking the Model; 2.3 Modifying the Model; 2.4 Examples; Notes; References; 3. Least-Squares Regression; 3.1 Introduction; 3.2 An Example of Simple Regression 327 $a3.3 Estimating the Regression Line3.4 Testing ? = 0; 3.5 Checking Normality; 3.6 An Example of Multiple Regression; 3.7 Estimating the Regression Coefficients; 3.8 Testing the Regression Coefficients; 3.9 Testing ?q + 1 = · · · = ?p = 0; 3.10 Testing ?3 = 0; 3.11 The Coefficient of Determination; 3.12 Computation; Notes; References; 4. Least-Absolute-Deviations Regression; 4.1 Introduction; 4.2 Estimating the Regression Line; 4.3 Nonuniqueness and Degeneracy; 4.4 Testing ? = 0; 4.5 An Example of Multiple Regression; 4.6 Estimating the Regression Coefficients 327 $a4.7 Testing ?q + 1 = · · · = ?p = 04.8 Computation; Notes; References; 5. M-Regression; 5.1 Introduction; 5.2 An Example of Simple Regression; 5.3 Estimating the Regression Line; 5.4 Testing ? = 0; 5.5 An Example of Multiple Regression; 5.6 Estimating the Regression Coefficients; 5.7 Testing ?q + 1 = · · · = ?p = 0; 5.8 Computation; Notes; References; 6. Nonparametric Regression; 6.1 Introduction; 6.2 An Example of Simple Regression; 6.3 Estimating the Regression Line; 6.4 Testing ? = 0; 6.5 An Example of Multiple Regression; 6.6 Estimating the Regression Coefficients 327 $a6.7 Testing ?q + 1 = · · · = ?p = 06.8 Computation; Notes; References; 7. Bayesian Regression; 7.1 Introduction; 7.2 The Bayesian Approach; 7.3 An Example of Simple Regression; 7.4 Estimating the Regression Line; 7.5 Testing ? = 0; 7.6 An Example of Multiple Regression; 7.7 Estimating the Regression Coefficients; 7.8 Testing ?q + 1 = · · · = ?p = 0; 7.9 Computation; Notes; References; 8. Ridge Regression; 8.1 Introduction; 8.2 An Example of Simple Regression; 8.3 Estimating the Regression Line; 8.4 An Example of Multiple Regression; 8.5 Standardization 327 $a8.6 Estimating the Regression Coefficients8.7 Collinearity; Notes; References; 9. Comparisons; 9.1 Introduction; 9.2 Comparison of Properties; 9.3 Comparisons on Three Data Sets; Notes; References; 10. Other Methods; 10.1 Introduction; 10.2 Other Methods of Linear Regression; 10.3 More General Methods of Regression; References; Appendix; Student's t-Distribution; F-Distribution; Chi-squared Distribution; Index 330 $aOf related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts "".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models."" --Technometrics This book provides a balance between theory and practice supported by extensive displays of instructive geometrical constructs. Numerous in-depth case studies illustrate the use of nonlinear regression analysis--with all data 410 0$aWiley Series in Probability and Statistics 606 $aRegression analysis 606 $aMultivariate analysis 608 $aElectronic books. 615 0$aRegression analysis. 615 0$aMultivariate analysis. 676 $a519.5/36 676 $a519.536 700 $aBirkes$b David$0103520 701 $aDodge$b Yadolah$f1944-$029867 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139573103321 996 $aAlternative methods of regression$9437966 997 $aUNINA