Estimation of quantile density function based on regression quantiles

Statistics and Probability Letters

Volumn 23, Issue 1, 1995, Pages 73-78

  Dodge, Yadolah ^a   Jurečková, Jana ^b  

^a UNIVERSITY OF NEUCHÂTEL   (Switzerland)

^b CHARLES UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 13044288493     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-7152(94)00097-R     Document Type: Article

References (26)

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2. On a simple estimate of the reciprocal of the density function
3. Estimation of a density function using the order statistics
4. Strong approximation of the quantile process
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6. Adaptive combination of least squares and of least absolute deviations estimators
7. 1-estimator in the linear model
8. Flexible L-estimation in the linear model
9. A class of estimators based on adaptive convex combinations of two estimation procedures
10. Nonparametric estimation of a multivariate probability density
11. On the estimation of the quantile density function
12. A comparison of nonparametric sequential procedures for estimating a quantile
13. Regression rank scores and regression quantiles
14. Regression quantiles and trimmed least squares estimator under a general design
15. 1-regression
16. Regression quantiles
17. 1 estimation
18. L-estimation for the linear models
19. Adaptive choice of mean or median in estimating the center of a symmetric distribution
20. Least absolute errors analysis of variance
21. Distribution of quantiles in samples from a bivariate population
22. One-step L-estimators for the linear model
23. One-step L-estimators for the linear model
24. Kernel estimates of the sparsity function
25. A smooth nonparametric estimator of quantile function
26. Smooth nonparametric estimation of the quantile function