. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of …

In this paper bootstrap confidence bands are constructed for nonparametric quantile estimates of regression functions … bootstrap approximation provides an improvement. The case of multidimensional and discrete regressor variables is dealt with …

unter allgemeinen Bedingungen etabliert. Die zweite Methode beruht auf der Bootstrap Resampling-Verfahren. Es ist bewiesen …, dass die Bootstrap-Approximation eine wesentliche Verbesserung ergibt. Der Fall von mehrdimensionalen und diskrete … method is based on the bootstrap resampling method. It is proved that the bootstrap approximation provides a substantial …

. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of … respect to different education levels. -- Bootstrap ; Quantile Regression ; Confidence Bands ; Nonparametric Fitting ; Kernel …

. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (EDF … distribution is logarithmically slow. It is proved that the bootstrap approximation provides a substantial improvement. The case of …

, as an alternative to the asymptotic approach, we propose a bootstrap confidence band. The developed theory is helpful for …

, as an alternative to the asymptotic approach, we propose a bootstrap confidence band. The developed theory is helpful for …