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[null,"1.","Record Nr.",null,"UNINA9910555112403321"]
[null,null,"Autore",null,"Agung I Gusti Ngurah"]
[null,null,"Titolo",null,"Quantile regression : applications on experimental and cross section data using EViews / / I. Gusti Ngurah Agung"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ : , : John Wiley & Sons, Inc., , 2021"]
[null,null,"ISBN",null,"1-119-71518-0"]
[{"$nulls":4},"1-119-71516-4"]
[{"$nulls":4},"1-119-71495-8"]
[null,null,"Descrizione fisica",null,"1 online resource (499 pages)"]
[null,null,"Disciplina",null,"519.536"]
[null,null,"Soggetti",null,"Quantile regression"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Cover -- Title Page -- Copyright -- Contents -- Preface -- About the Author -- Chapter 1 Test for the Equality of Medians by Series/Group of Variables -- 1.1 Introduction -- 1.2 Test for Equality of Medians of Y1 by Categorical Variables -- 1.3 Test for Equality of Medians of Y1 by Categorical Variables -- 1.4 Testing the Medians of Y1 Categorized by X1 -- 1.5 Testing the Medians of Y1 Categorized by RX1 &amp -- equals -- @Ranks(X1,a) -- 1.6 Unexpected Statistical Results -- 1.7 Testing the Medians of Y1 by X1 and Categorical Factors -- 1.8 Testing the Medians of Y by Numerical Variables -- 1.8.1 Findings Based on Data&amp -- uscore -- Faad.wf1 -- 1.8.2 Findings Based on Mlogit.wf1 -- 1.9 Application of the Function @Mediansby(Y,IV) -- Chapter 2 One‐ and Two‐way ANOVA Quantile Regressions -- 2.1 Introduction -- 2.2 One‐way ANOVA Quantile Regression -- 2.3 Alternative Two‐way ANOVA Quantile Regressions -- 2.3.1 Applications of the Simplest Equation Specification -- 2.3.2 Application of the Quantile Process -- 2.3.3 Applications of the Models with Intercepts -- 2.4 Forecasting -- 2.5 Additive Two‐way ANOVA Quantile Regressions -- 2.6 Testing the Quantiles of Y1 Categorized by X1 -- 2.7 Applications of QR on Population Data -- 2.7.1 One‐way‐ANOVA‐QRs -- 2.7.2 Application of the Forecasting -- 2.7.3 Two‐way ANOVA‐QRs -- 2.8 Special Notes and Comments on Alternative Options -- Chapter 3 N‐Way ANOVA Quantile Regressions -- 3.1 Introduction -- 3.2 The Models Without an Intercept "]
[{"$nulls":4},"-- 3.3 Models with Intercepts -- 3.4 I × J × K Factorial QRs Based on susenas.wf1 -- 3.4.1 Alternative ESs of CWWH on F1, F2, and F3 -- 3.4.1.1 Applications of the Simplest ES in (3.5a) -- 3.4.1.2 Applications of the ES in (3.5b) -- 3.4.1.3 Applications of the ES in (3.5c) -- 3.5 Applications of the N‐Way ANOVA‐QRs -- 3.5.1 Four‐Way ANOVA‐QRs."]
[{"$nulls":4},"Chapter 4 Quantile Regressions Based on (X1,Y1) -- 4.1 Introduction -- 4.2 The Simplest Quantile Regression -- 4.3 Polynomial Quantile Regressions -- 4.3.1 Quadratic Quantile Regression -- 4.3.2 Third Degree Polynomial Quantile Regression -- 4.3.3 Forth Degree Polynomial Quantile Regression -- 4.3.4 Fifth Degree Polynomial Quantile Regression -- 4.4 Logarithmic Quantile Regressions -- 4.4.1 The Simplest Semi‐Logarithmic QR -- 4.4.2 The Semi‐Logarithmic Polynomial QR -- 4.4.2.1 The Basic Semi‐Logarithmic Third Degree Polynomial QR -- 4.4.2.2 The Bounded Semi‐Logarithmic Third Degree Polynomial QR -- 4.5 QRs Based on MCYCLE.WF1 -- 4.5.1 Scatter Graphs of (MILL,ACCEL) with Fitted Curves -- 4.5.2 Applications of Piecewise Linear QRs -- 4.5.3 Applications of the Quantile Process -- 4.5.4 Alterative Piecewise Linear QRs -- 4.5.5 Applications of Piecewise Quadratic QRs -- 4.5.6 Alternative Piecewise Polynomial QRs -- 4.5.7 Applications of Continuous Polynomial QRs -- 4.5.8 Special Notes and Comments -- 4.6 Quantile Regressions Based on SUSENAS‐2013.wf1 -- 4.6.1 Application of CWWH on AGE -- 4.6.1.1 Quantile Regressions of CWWH on AGE -- 4.6.1.2 Application of Logarithmic QRs -- 4.6.2 An Application of Life‐Birth on AGE for Ever Married Women -- 4.6.2.1 QR(Median) of LBIRTH on AGE as a Numerical Predictor -- Chapter 5 Quantile Regressions with Two Numerical Predictors -- 5.1 Introduction -- 5.2 Alternative QRs Based on Data&amp -- uscore -- Faad.wf1 -- 5.2.1 Alternative QRs Based on (X1,X2,Y1) -- 5.2.1.1 Additive QR -- 5.2.1.2 Semi‐Logarithmic QR of log(Y1) on X1 and X2 -- 5.2.1.3 Translog QR of log(Y1) on log(X1) and log(X2) -- 5.2.2 Two‐Way Interaction QRs -- 5.2.2.1 Interaction QR of Y1 on X1 and X2 -- 5.2.2.2 Semi‐Logarithmic Interaction QR Based on (X1,X2,Y1) -- 5.2.2.3 Translogarithmic Interaction QR Based on (X1,X2,Y1)."]
[{"$nulls":4},"5.3 An Analysis Based on Mlogit.wf1 -- 5.3.1 Alternative QRs of LW -- 5.3.2 Alternative QRs of INC -- 5.3.2.1 Using Z‐Scores Variables as Predictors -- 5.3.2.2 Alternative QRs of INC on Other Sets of Numerical Predictors -- 5.3.2.3 Alternative QRs Based on Other Sets of Numerical Variables -- 5.4 Polynomial Two‐Way Interaction QRs -- 5.5 Double Polynomial QRs -- 5.5.1 Additive Double Polynomial QRs -- 5.5.2 Interaction Double Polynomial QRs -- Chapter 6 Quantile Regressions with Multiple Numerical Predictors -- 6.1 Introduction -- 6.2 Alternative Path Diagrams Based on (X1,X2,X3,Y1) -- 6.2.1 A QR Based on the Path Diagram in Figure a -- 6.2.2 A QR Based on the Path Diagram in Figure b -- 6.2.3 QR Based on the Path Diagram in Figure c -- 6.2.3.1 A Full Two‐Way Interaction QR -- 6.2.3.2 A Full Three‐Way Interaction QR -- 6.2.4 QR Based on the Path Diagram in Figure d -- 6.3 Applications of QRs Based on Data&amp -- uscore -- Faad.wf1 -- 6.4 Applications of QRs Based on Data in Mlogit.wf1 -- 6.5 QRs of PR1 on (DIST1,X1,X2) -- 6.6 Advanced Statistical Analysis -- 6.6.1 Applications of the Quantiles Process -- 6.6.1.1 An Application of the Process Coefficients -- 6.6.1.2 An Application of the Quantile Slope Equality Test -- 6.6.1.3 An Application of the Symmetric Quantiles Test -- 6.6.2 An Application of the Ramsey RESET Test -- 6.6.3 Residual Diagnostics -- 6.7 Forecasting -- 6.7.1 Basic Forecasting -- 6.7.2 Advanced Forecasting -- 6.8 Developing a Complete Data&amp -- uscore -- LW.wf1 -- 6.9 QRs with Four Numerical Predictors -- 6.9.1 An Additive QR -- 6.9.2 Alternative Two‐Way Interaction QRs -- 6.9.2.1 A Two‐Way Interaction QR Based on Figure a -- 6.9.2.2 A Two‐Way "]
[{"$nulls":4},"Interaction QR Based on Figure b -- 6.9.2.3 A Two‐Way Interaction QR Based on Figure c -- 6.9.2.4 A Two‐Way Interaction QR Based on Figure d -- 6.9.3 Alternative Three‐Way Interaction QRs."]
[{"$nulls":4},"6.9.3.1 Alternative Models Based on Figure a -- 6.9.3.2 Alternative Models Based on Figure b -- 6.9.3.3 Alternative Models Based on Figure c -- 6.9.3.4 Alternative Models Based on Figure d -- 6.10 QRs with Multiple Numerical Predictors -- 6.10.1 Developing an Additive QR -- 6.10.2 Developing a Simple Two‐Way Interaction QR -- 6.10.3 Developing a Simple Three‐Way Interaction QR -- Chapter 7 Quantile Regressions with the Ranks of Numerical Predictors -- 7.1 Introduction -- 7.2 NPQRs Based on a Single Rank Predictor -- 7.2.1 Alternative Piecewise NPQRs of ACCEL on R&amp -- uscore -- Milli -- 7.2.2 Polynomial NPQRs of ACCEL on R&amp -- uscore -- Milli -- 7.2.3 Special Notes and Comments -- 7.3 NPQRs on Group of R&amp -- uscore -- Milli -- 7.3.1 An Application of the G&amp -- uscore -- Milli as a Categorical Variable -- 7.3.2 The kth‐Degree Polynomial NPQRs of ACCEL on G&amp -- uscore -- Milli -- 7.4 Multiple NPQRs Based on Data‐Faad.wf1 -- 7.4.1 An NPQR Based on a Triple Numerical Variable (X1,X2,Y) -- 7.4.2 NPQRs with Multi‐Rank Predictors -- 7.5 Multiple NPQRs Based on MLogit.wf1 -- Chapter 8 Heterogeneous Quantile Regressions Based on Experimental Data -- 8.1 Introduction -- 8.2 HQRs of Y1 on X1 by a Cell‐Factor -- 8.2.1 The Simplest HQR -- 8.2.2 A Piecewise Quadratic QR -- 8.2.3 A Piecewise Polynomial Quantile Regression -- 8.3 HLQR of Y1 on (X1,X2) by the Cell‐Factor -- 8.3.1 Additive HLQR of Y1 on (X1,X2) by CF -- 8.3.2 A Two‐Way Interaction Heterogeneous‐QR of Y1 on (X1,X2) by CF -- 8.3.3 An Application of Translog‐Linear QR of Y1 on (X1,X2) by CF -- 8.4 The HLQR of Y1 on (X1,X2,X3) by a Cell‐Factor -- 8.4.1 An Additive HLQR of Y1 on (X1,X2,X3) by CF -- 8.4.2 A Full Two‐Way Interaction HQR of Y1 on (X1,X2,X3) by CF -- 8.4.3 A Full Three‐Way Interaction HQR of Y1 on (X1,X2,X3) by CF -- Chapter 9 Quantile Regressions Based on CPS88.wf1."]
[{"$nulls":4},"9.1 Introduction -- 9.2 Applications of an ANOVA Quantile Regression -- 9.2.1 One‐Way ANOVA‐QR -- 9.2.2 Two‐Way ANOVA Quantile Regression -- 9.2.2.1 The Simplest Equation of Two‐Way ANOVA‐QR -- 9.2.2.2 A Special Equation of the Two‐Way ANOVA‐QR -- 9.2.2.3 An Additive Two‐Way ANOVA‐QR -- 9.2.3 Three‐Way ANOVA‐QRs -- 9.3 Quantile Regressions with Numerical Predictors -- 9.3.1 QR of LWAGE on GRADE -- 9.3.1.1 A Polynomial QR of LWAGE on GRADE -- 9.3.1.2 The Simplest Linear QR of Y1 on a Numerical X1 -- 9.3.2 Quantile Regressions of Y1 on (X1,X2) -- 9.3.2.1 Hierarchical and Nonhierarchical Two‐Way Interaction QRs -- 9.3.2.2 A Special Polynomial Interaction QR -- 9.3.2.3 A Double Polynomial Interaction QR of Y1 on (X1,X2) -- 9.3.3 QRs of Y1 on Numerical Variables (X1,X2,X3) -- 9.3.3.1 A Full Two‐Way Interaction QR -- 9.3.3.2 A Full‐Three‐Way‐Interaction QR -- 9.4 Heterogeneous Quantile‐Regressions -- 9.4.1 Heterogeneous Quantile Regressions by a Factor -- 9.4.1.1 A Heterogeneous Linear QR of LWAGE on POTEXP by IND1 -- 9.4.1.2 A Heterogeneous Third‐Degree Polynomial QR of LWAGE on GRADE -- 9.4.1.3 An Application of QR for a Large Number of Groups -- 9.4.1.4 Comparison Between Selected Heterogeneous QR(Median) -- Chapter 10 Quantile Regressions of a Latent Variable -- 10.1 Introduction -- 10.2 Spearman‐rank Correlation -- 10.3 Applications of ANOVA‐QR(τ) -- 10.3.1 One‐way ANOVA‐QR of BLV -- 10.3.2 A Two‐Way ANOVA‐QR of BLV -- 10.3.2.1 The Simplest Equation of a Two‐Way ANOVA‐QR of BLV -- 10.3.2.2 A Two‐way ANOVA‐QR of BLV with an Intercept -- 10.3.2.3 A Special Equation of Two‐Way ANOVA‐QR of BLV -- 10.4 Three‐way ANOVA‐QR of BLV -- 10.5 QRs of BLV on Numerical Predictors -- 10.5.1 QRs of BLV on MW -- 10.5.1.1 The Simplest Linear "]
[{"$nulls":4},"Regression of BLV on MW -- 10.5.1.2 Polynomial Regression of BLV on MW -- 10.5.2 QRs of BLV on Two Numerical Predictors."]
[{"$nulls":4},"10.5.2.1 An Additive QR of BLV."]