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2014 | OriginalPaper | Buchkapitel

12. Averaged Regression Quantiles

verfasst von : Jana Jurečková, Jan Picek

Erschienen in: Contemporary Developments in Statistical Theory

Verlag: Springer International Publishing

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Abstract

We show that weighted averaged regression α-quantile in the linear regression model, with regressor components as weights, is monotone in \(\alpha\in(0,1),\) and is asymptotically equivalent to the α-quantile of the location model. This relation remains true under the local heteroscedasticity of the model errors. As such, the averaged regression quantile provides various scale statistics, used for studentization and standardization in linear model, and an estimate of quantile density based on regression data. The properties are numerically illustrated.

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Literatur
Zurück zum Zitat Bloch DA, Gastwirth JL (1968) On a simple estimate of the reciprocal of the density function. Ann Math Statist 36:457–462MathSciNet Bloch DA, Gastwirth JL (1968) On a simple estimate of the reciprocal of the density function. Ann Math Statist 36:457–462MathSciNet
Zurück zum Zitat Dodge Y, Jurečková J (1995) Estimation of quantile density function based on regression quantiles. Stat Probab Lett 23:73–78CrossRefMATH Dodge Y, Jurečková J (1995) Estimation of quantile density function based on regression quantiles. Stat Probab Lett 23:73–78CrossRefMATH
Zurück zum Zitat Epanechnikov VA (1969) Nonparametric estimation of a multivariate probability density. Theor Probab Appl 14:153–158CrossRef Epanechnikov VA (1969) Nonparametric estimation of a multivariate probability density. Theor Probab Appl 14:153–158CrossRef
Zurück zum Zitat Gutenbrunner C, Jurečková J (1992) Regression rank scores and regression quantiles. Ann Stat 20:305–330CrossRefMATH Gutenbrunner C, Jurečková J (1992) Regression rank scores and regression quantiles. Ann Stat 20:305–330CrossRefMATH
Zurück zum Zitat Hájek J (1965). Extensions of the Kolmogorov-Smirnov tests to regression alternatives. Bernoulli-Bayes-Laplace Seminar, (ed. L. LeCam), University California Press, California, pp 45–60 Hájek J (1965). Extensions of the Kolmogorov-Smirnov tests to regression alternatives. Bernoulli-Bayes-Laplace Seminar, (ed. L. LeCam), University California Press, California, pp 45–60
Zurück zum Zitat Hájek J, Šidák Z (1967) Theory of rank tests. Academia, PragueMATH Hájek J, Šidák Z (1967) Theory of rank tests. Academia, PragueMATH
Zurück zum Zitat Hallin M, Jurečková J (1999). Optimal tests for autoregressive models based on autoregression rank scores. Ann Stat 27:1385–1414CrossRefMATH Hallin M, Jurečková J (1999). Optimal tests for autoregressive models based on autoregression rank scores. Ann Stat 27:1385–1414CrossRefMATH
Zurück zum Zitat Jaeckel LA (1972) Estimating regression coefficients by minimizing the dispersion of the residuals. Ann Math Stat 43:1449–1459CrossRefMATHMathSciNet Jaeckel LA (1972) Estimating regression coefficients by minimizing the dispersion of the residuals. Ann Math Stat 43:1449–1459CrossRefMATHMathSciNet
Zurück zum Zitat Jones MC (1992) Estimating densities, quantiles, quantile densities and density quantiles. Ann Inst Stat Math 44:721–727CrossRefMATH Jones MC (1992) Estimating densities, quantiles, quantile densities and density quantiles. Ann Inst Stat Math 44:721–727CrossRefMATH
Zurück zum Zitat Jurečková J, Picek J (2005) Two-step regression quantiles. Sankhya 67/2:227–252 Jurečková J, Picek J (2005) Two-step regression quantiles. Sankhya 67/2:227–252
Zurück zum Zitat Jurečková J, Picek J (2012) Regression quantiles and their two-step modifications. Stat Probab Lett 83:1111–1115CrossRef Jurečková J, Picek J (2012) Regression quantiles and their two-step modifications. Stat Probab Lett 83:1111–1115CrossRef
Zurück zum Zitat Jurečková J, Sen PK, Picek J (2012) Methodological tools in robust and nonparametric statistics. Chapman & Hall/CRC, Boca Raton Jurečková J, Sen PK, Picek J (2012) Methodological tools in robust and nonparametric statistics. Chapman & Hall/CRC, Boca Raton
Zurück zum Zitat Koul HL (2002) Weighted empirical processes in dynamic nonlinear models. Lecture Notes in Statistics, vol 166, Springer, New YorkCrossRefMATH Koul HL (2002) Weighted empirical processes in dynamic nonlinear models. Lecture Notes in Statistics, vol 166, Springer, New YorkCrossRefMATH
Zurück zum Zitat Lai TL, Robbins H, Yu KF (1983) Adaptive choice of mean or median in estimating the center of a symmetric distribution. Proc Nat Acad Sci USA 80:5803–5806CrossRefMATHMathSciNet Lai TL, Robbins H, Yu KF (1983) Adaptive choice of mean or median in estimating the center of a symmetric distribution. Proc Nat Acad Sci USA 80:5803–5806CrossRefMATHMathSciNet
Zurück zum Zitat Siddiqui MM (1960) Distribution of quantiles in samples from a bivariate population. J Res Nat Bur Standards 6411:145–150CrossRefMathSciNet Siddiqui MM (1960) Distribution of quantiles in samples from a bivariate population. J Res Nat Bur Standards 6411:145–150CrossRefMathSciNet
Zurück zum Zitat Welsh AH (1987) One-step L-estimators for the linear model. Ann Statist 15:626–641. Correction: Ann Stat (1988) 16:481 Welsh AH (1987) One-step L-estimators for the linear model. Ann Statist 15:626–641. Correction: Ann Stat (1988) 16:481
Zurück zum Zitat Welsh AH (1987) Kernel estimates of the sparsity function. In: Dodge Y (ed) Statistical data analysis based on the L1-norm and related methods. Elsevier, Amsterdam, pp 369–378 Welsh AH (1987) Kernel estimates of the sparsity function. In: Dodge Y (ed) Statistical data analysis based on the L1-norm and related methods. Elsevier, Amsterdam, pp 369–378
Zurück zum Zitat Xiang X (1995) Estimation of conditional quantile density function. J Nonparametr Stat 4:309–316CrossRefMATH Xiang X (1995) Estimation of conditional quantile density function. J Nonparametr Stat 4:309–316CrossRefMATH
Zurück zum Zitat Yang SS (1985) A smooth nonparametric estimator of quantile function. J Am Stat Assoc 80:1004–1011CrossRefMATH Yang SS (1985) A smooth nonparametric estimator of quantile function. J Am Stat Assoc 80:1004–1011CrossRefMATH
Zurück zum Zitat Zeltermann D (1990) Smooth nonparametric estimation of the quantile function. J Stat Plan Infer 26:339–352CrossRef Zeltermann D (1990) Smooth nonparametric estimation of the quantile function. J Stat Plan Infer 26:339–352CrossRef
Metadaten
Titel
Averaged Regression Quantiles
verfasst von
Jana Jurečková
Jan Picek
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-02651-0_12