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Detection of the symmetry of model errors for partial linear single-index models. (English) Zbl 1489.62125

Summary: In this paper, we propose a \(k\)-th correlation coefficient estimator between the density function and distribution function of the model errors in single-index models and partial linear single-models. This \(k\)-th correlation coefficient estimator is used to test whether the density function of the true model error is symmetric or not. First, we propose a moment based estimator of \(k\)-th correlation coefficient and present its asymptotic results. Second, we consider statistical inference of the \(k\)-th correlation coefficient estimator by using the empirical likelihood method. The empirical likelihood statistic is shown to be asymptotically distributed a centered chi-squared distribution with degree of freedom one. Simulation studies are conducted to examine the performance of the proposed estimators and test statistics.

MSC:

62G08 Nonparametric regression and quantile regression
62G05 Nonparametric estimation
62G20 Asymptotic properties of nonparametric inference
62G10 Nonparametric hypothesis testing
62E20 Asymptotic distribution theory in statistics
Full Text: DOI

References:

[1] Bindele, H. F.; Abebe, A.; Meyer, K. N., General rank-based estimation for regression single index models, Annals of the Institute of Statistical Mathematics, 70, 5, 1115-46 (2018) · Zbl 1407.62129 · doi:10.1007/s10463-017-0618-9
[2] Carroll, R. J.; Härdle, W.; Liang, H., Estimation in a semiparametric partially linear errors-in-variables model, The Annals of Statistics, 27, 5, 1519-35 (1999) · Zbl 0977.62036 · doi:10.1214/aos/1017939140
[3] Csörgő, S.; Heathcote, C. R., Testing for symmetry, Biometrika, 74, 1, 177-84 (1987) · Zbl 0606.62049 · doi:10.1093/biomet/74.1.177
[4] Cui, X.; Guo, W.; Lin, L.; Zhu, L., Covariate-adjusted nonlinear regression, The Annals of Statistics, 37, 4, 1839-70 (2009) · Zbl 1168.62035 · doi:10.1214/08-AOS627
[5] Cui, X.; Härdle, W. K.; Zhu, L., The EFM approach for single-index models, The Annals of Statistics, 39, 3, 1658-88 (2011) · Zbl 1221.62062 · doi:10.1214/10-AOS871
[6] Davis, C. E.; Quade, D., U-statistics for skewness or symmetry, Communications in Statistics - Theory and Methods, 7, 5, 413-8 (1978) · Zbl 0391.62033 · doi:10.1080/03610927808827634
[7] Eberl, A.; Klar, B., A note on a measure of asymmetry, Statistical Papers (2019) · Zbl 1458.60022 · doi:10.1007/s00362-019-01145-4
[8] Feng, S. Y.; Li, G.; Zhang, J., Efficient statistical inference for partially nonlinear errors-in-variables models, Acta Mathematica Sinica, English Series, 30, 9, 1606-20 (2014) · Zbl 1298.62111 · doi:10.1007/s10114-014-1358-x
[9] Gai, Y.; Zhu, X.; Zhang, J., Testing symmetry of model errors for nonparametric regression models by using correlation coefficient, Communications in Statistics - Simulation and Computation (2019) · Zbl 1524.62176 · doi:10.1080/03610918.2019.1670844
[10] Gupta, M. K., An asymptotically nonparametric test of symmetry, The Annals of Mathematical Statistics, 38, 3, 849-66 (1967) · Zbl 0157.48102 · doi:10.1214/aoms/1177698879
[11] Hall, P., The bootstrap and edgeworth expansion (1992), New York: Springer-Verlag, New York · Zbl 0744.62026
[12] Härdle, W.; Liang, H.; Gao, J. T., Partially linear models (2000), Heidelberg: Springer Physica, Heidelberg · Zbl 0968.62006
[13] Hettmansperger, T. P.; McKean, J. W.; Sheather, S. J., IMS Lecture Notes Monogr. Ser, 42 of, Testing symmetry of the errors of a linear model, 99-112 (2003), Beachwood, OH: Institute of Mathematical Statistics, Beachwood, OH
[14] Hill, D. L.; Rao, P. V., Tests of symmetry based on Cramér-von Mises statistics, Biometrika, 64, 3, 489-94 (1977) · Zbl 0376.62029 · doi:10.1093/biomet/64.3.489
[15] Horowitz, J. L., Semiparametric and Nonparametric Methods in Econometrics (2009), New York: Springer, New York · Zbl 1278.62005
[16] Hsieh, J.; Jeng, J.; Lin, Y.; Kuo, Y., Single index fuzzy neural networks using locally weighted polynomial regression, Fuzzy Sets and Systems, 368, 82-100 (2019) · doi:10.1016/j.fss.2019.02.010
[17] Ichimura, H., Semiparametric least squares (SLS) and weighted SLS estimation of single-index models, Journal of Econometrics, 58, 1-2, 71-120 (1993) · Zbl 0816.62079 · doi:10.1016/0304-4076(93)90114-K
[18] Jia, Y.; Song, T.; Wu, S.; Zhang, Q.; Su, Y., Dynamic influence prediction of social network based on partial autoregression single index model, Discrete Dynamics in Nature and Society, 2019, 1-15 (2019) · Zbl 1453.91079 · doi:10.1155/2019/6237406
[19] Kraft, C. H.; van Eeden, C., Linearized rank estimates and signed-rank estimates for the general linear hypothesis, The Annals of Mathematical Statistics, 43, 1, 42-57 (1972) · Zbl 0238.62045 · doi:10.1214/aoms/1177692699
[20] Kulasekera, K.; Wang, J., A test of equality of regression curves using gâteaux scores, Australian & New Zealand Journal of Statistics, 43, 1, 89-99 (2001) · Zbl 0990.62039 · doi:10.1111/1467-842X.00157
[21] Lai, P.; Li, G.; Lian, H., Semiparametric estimation of fixed effects panel data single-index model, Statistics & Probability Letters, 83, 6, 1595-602 (2013) · Zbl 1278.62048 · doi:10.1016/j.spl.2013.03.005
[22] Lian, H., Empirical likelihood confidence intervals for nonparametric functional data analysis, Journal of Statistical Planning and Inference, 142, 7, 1669-77 (2012) · Zbl 1238.62057 · doi:10.1016/j.jspi.2012.02.008
[23] Liang, H.; Liu, X.; Li, R.; Tsai, C. L., Estimation and testing for partially linear single-index models, The Annals of Statistics, 38, 6, 3811-36 (2010) · Zbl 1204.62068 · doi:10.1214/10-AOS835
[24] Liang, H.; Qin, Y.; Zhang, X.; Ruppert, D., Empirical likelihood-based inferences for generalized partially linear models, Scandinavian Journal of Statistics, 36, 3, 433-43 (2009) · Zbl 1197.62092 · doi:10.1111/j.1467-9469.2008.00632.x
[25] Lian, H.; Liang, H.; Carroll, R. J., Variance function partially linear single-index models, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77, 1, 171-94 (2015) · Zbl 1414.62301 · doi:10.1111/rssb.12066
[26] Li, G.; Lai, P.; Lian, H., Variable selection and estimation for partially linear single-index models with longitudinal data, Statistics and Computing, 25, 3, 579-93 (2015) · Zbl 1331.62336 · doi:10.1007/s11222-013-9447-8
[27] Li, G.; Peng, H.; Dong, K.; Tong, T., Simultaneous confidence bands and hypothesis testing for single-index models, Statist. Sinica, 24, 2, 937-55 (2014) · Zbl 1285.62044
[28] Li, G.; Zhang, J.; Feng, S., Modern measurement error models (2016), Beijing: Science Press, Beijing
[29] Ma, S.; Zhang, J.; Sun, Z.; Liang, H., Integrated conditional moment test for partially linear single index models incorporating dimension-reduction, Electronic Journal of Statistics, 8, 1, 523-42 (2014) · Zbl 1348.62141 · doi:10.1214/14-EJS893
[30] Mack, Y. P.; Silverman, B. W., Weak and strong uniform consistency of kernel regression estimates, Zeitschrift f⏧r Wahrscheinlichkeitstheorie Und Verwandte Gebiete, 61, 3, 405-15 (1982) · Zbl 0495.62046 · doi:10.1007/BF00539840
[31] Orlov, A. I., Testing the symmetry of a distribution, Theory of Probability & Its Applications, 17, 2, 357-61 (1973) · Zbl 0253.62026 · doi:10.1137/1117041
[32] Owen, A., Empirical likelihood for linear models, The Annals of Statistics, 19, 4, 1725-47 (1991) · Zbl 0799.62048 · doi:10.1214/aos/1176348368
[33] Owen, A. B., Empirical likelihood (2001), London: Chapman and Hall/CRC, London · Zbl 0989.62019
[34] Partlett, C.; Patil, P. N., Measuring asymmetry and testing symmetry, Annals of the Institute of Statistical Mathematics, 69, 2, 429-60 (2017) · Zbl 1362.62105 · doi:10.1007/s10463-015-0547-4
[35] Patil, P. N.; Patil, P. P.; Bagkavos, D., A measure of asymmetry, Statistical Papers, 53, 4, 971-85 (2012) · Zbl 1254.62015 · doi:10.1007/s00362-011-0401-6
[36] Peng, H.; Huang, T., Penalized least squares for single index models, Journal of Statistical Planning and Inference, 141, 4, 1362-79 (2011) · Zbl 1204.62070 · doi:10.1016/j.jspi.2010.10.003
[37] Randles, R. H.; Fligner, M. A. Policello; Wolfe, I. I., An asymptotically distribution-free test for symmetry versus asymmetry, Journal of the American Statistical Association, 75, 369, 168-72 (1980) · Zbl 0427.62024 · doi:10.1080/01621459.1980.10477448
[38] Rothman, E. D.; Woodroofe, M., A Cramér-von Mises type statistic for testing symmetry, The Annals of Mathematical Statistics, 43, 6, 2035-8 (1972) · Zbl 0276.62045 · doi:10.1214/aoms/1177690879
[39] Serfling, R. J., Approximation theorems of mathematical statistics (1980), New York: John Wiley & Sons Inc, New York · Zbl 0538.62002
[40] Srinivasan, R.; Godio, L. B., A Cramér-von Mises type statistic for testing symmetry, Biometrika, 61, 1, 196-8 (1974) · Zbl 0285.62020 · doi:10.1093/biomet/61.1.196
[41] van der Vaart, A. W.; Wellner, J. A., Weak convergence and empirical processes. with applications to statistics (1996), New York: Springer-Verlag, New York · Zbl 0862.60002
[42] van Eeden, C., An analogue, for signed rank statistics, of Jurečková’s asymptotic linearity theorem for rank statistics, The Annals of Mathematical Statistics, 43, 3, 791-802 (1972) · Zbl 0243.62027 · doi:10.1214/aoms/1177692545
[43] Wang, L.; Xue, L.; Qu, A.; Liang, H., Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates, The Annals of Statistics, 42, 2, 592-624 (2014) · Zbl 1309.62077 · doi:10.1214/13-AOS1194
[44] Wang, W.; Zhu, Z., Variable selection for the partial linear single-index model, Acta Mathematicae Applicatae Sinica, English Series, 33, 2, 373-88 (2017) · Zbl 1368.62058 · doi:10.1007/s10255-017-0666-1
[45] Wei, Z.; Zhu, L., Evaluation of value at risk: An empirical likelihood approach, Statistica Sinica, 20, 1, 455-68 (2010) · Zbl 1180.62153
[46] Wilcoxon, F., Probability tables for individual comparisons by ranking methods, Biometrics, 3, 3, 119-22 (1947) · doi:10.2307/3001946
[47] Xia, Y., Asymptotic distributions for two estimators of the single-index model, Econometric Theory, 22, 6, 1112-37 (2006) · Zbl 1170.62323 · doi:10.1017/S0266466606060531
[48] Xia, Y.; Härdle, W., Semi-parametric estimation of partially linear single-index models, Journal of Multivariate Analysis, 97, 5, 1162-84 (2006) · Zbl 1089.62050 · doi:10.1016/j.jmva.2005.11.005
[49] Yang, Y.; Li, G.; Lian, H., Nonconcave penalized estimation for partially linear models with longitudinal data, Statistics, 50, 1, 43-59 (2016) · Zbl 1342.62052 · doi:10.1080/02331888.2015.1074232
[50] Yang, Y.; Li, G.; Tong, T., Corrected empirical likelihood for a class of generalized linear measurement error models, Science China Mathematics, 58, 7, 1523-36 (2015) · Zbl 1327.62233 · doi:10.1007/s11425-015-4976-6
[51] Yang, Y.; Tong, T.; Li, G., Simex estimation for single-index model with covariate measurement error, AStA Advances in Statistical Analysis, 103, 1, 137-61 (2019) · Zbl 1427.62022 · doi:10.1007/s10182-018-0327-6
[52] Yang, S.; Xue, L.; Li, G., Simultaneous confidence band for single-index random effects models with longitudinal data, Statistics & Probability Letters, 85, 6-14 (2014) · Zbl 1285.62026 · doi:10.1016/j.spl.2013.10.014
[53] Zhang, J., Estimation and variable selection for partial linear single-index distortion measurement errors models, Statistical Papers (2019) · Zbl 1477.62105 · doi:10.1007/s00362-019-01119-6
[54] Zhang, J.; Feng, Z., Partial linear single-index models with additive distortion measurement errors, Communications in Statistics - Theory and Methods, 46, 24, 12165-93 (2017) · Zbl 1384.62143 · doi:10.1080/03610926.2017.1291971
[55] Zhang, J.; Feng, Z.; Xu, P., Estimating the conditional single-index error distribution with a partial linear mean regression, Test, 24, 1, 61-83 (2015) · Zbl 1315.62033 · doi:10.1007/s11749-014-0395-1
[56] Zhang, J.; Gai, Y.; Cui, X.; Li, G., Measuring symmetry and asymmetry of multiplicative distortion measurement errors, Communications in Statistics - Simulation and Computation (2019) · doi:10.1214/18-BJPS432
[57] Zhang, J.; Gai, Y.; Lin, B.; Zhu, X., Nonlinear regression models with single© heteroscedasticity, Statistica Neerlandica, 73, 2, 292-316 (2019) · Zbl 07788779 · doi:10.1111/stan.12170
[58] Zhang, Q.; Li, X.; Wang, W.; Wang, L., Dynamic cluster analysis of dependent networks, Chinese Journal of Applied Probabilities and Statistics, 35, 4, 397 (2019) · Zbl 1449.62146
[59] Zhang, J.; Niu, C.; Li, G., Exploring the constant coefficient of a single-index variation, Brazilian Journal of Probability and Statistics, 33, 1, 57-86 (2019) · Zbl 1414.62139 · doi:10.1214/17-BJPS377
[60] Zhang, Q.; Wang, K.; Li, D.; Lin, L., Gmm and misspecification correction for misspecified models with diverging number of parameters, Acta Mathematicae Applicatae Sinica, English Series, 35, 4, 780-97 (2019) · Zbl 1452.62212 · doi:10.1007/s10255-019-0852-4
[61] Zhang, J.; Wang, T.; Zhu, L.; Liang, H., A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates, Electronic Journal of Statistics, 6, 2235-73 (2012) · Zbl 1295.62046 · doi:10.1214/12-EJS744
[62] Zhang, J.; Yu, Y.; Zhu, L.; Liang, H., Partial linear single index models with distortion measurement errors, Annals of the Institute of Statistical Mathematics, 65, 2, 237-67 (2013) · Zbl 1440.62141 · doi:10.1007/s10463-012-0371-z
[63] Zhang, J.; Zhang, J.; Zhu, X.; Lu, T., Testing symmetry based on empirical likelihood, Journal of Applied Statistics, 45, 13, 2429-54 (2018) · Zbl 1516.62053 · doi:10.1080/02664763.2017.1421917
[64] Zhang, J.; Zhou, N.; Sun, Z.; Li, G.; Wei, Z., Statistical inference on restricted partial linear regression models with partial distortion measurement errors, Statistica Neerlandica, 70, 4, 304-31 (2016) · Zbl 1528.62024 · doi:10.1111/stan.12089
[65] Zhu, X.; Guo, X.; Zhu, L., An adaptive-to-model test for partially parametric single-index models, Statistics and Computing, 27, 5, 1193-204 (2017) · Zbl 1505.62451 · doi:10.1007/s11222-016-9680-z
[66] Zhu, L.; Lin, L.; Cui, X.; Li, G., Bias-corrected empirical likelihood in a multi-link semiparametric model, Journal of Multivariate Analysis, 101, 4, 850-68 (2010) · Zbl 1181.62039 · doi:10.1016/j.jmva.2009.08.009
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