قارن الطرق

	انحدار الكمي-على-الكمي المعزز (RQQR)	انحدار الكوانتيل على الكوانتيل (QQ)
المجال	الاقتصاد القياسي	الاقتصاد القياسي
العائلة	Regression model	Regression model
سنة النشأة	2015–2020s	2015
صاحب الطريقة	Sim and Zhou (2015) for QQ regression; robust extensions developed subsequently in the literature	Sim and Zhou
النوع	Nonparametric quantile regression	Nonparametric quantile regression
المصدر التأسيسي	Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1–8.	Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking and Finance, 55, 1-8.
الأسماء البديلة	RQQR, robust QQ regression, robust quantile-on-quantile, outlier-robust QQR	QQ regression, QQ approach, quantile-on-quantile approach, nonparametric quantile regression
ذات صلة	3	6
الملخص	Robust Quantile-on-Quantile Regression extends the QQ framework of Sim and Zhou (2015) by adding resistance to outliers and heavy-tailed distributions. It estimates how each quantile of one variable responds to each quantile of another, producing a full dependence surface while guarding against leverage points that can distort standard QQ estimates.	Quantile-on-quantile regression is a nonparametric technique that estimates how the quantiles of one variable depend on the quantiles of another. By combining standard quantile regression with local linear smoothing, it produces a full two-dimensional surface of slope coefficients indexed by both the quantile of the outcome and the quantile of the predictor, revealing heterogeneous and asymmetric dependency structures invisible to standard regression.