Refined rates of bias convergence for generalized L-Statistics in the i.i.d. case
Volume 26 / 1999
Applicationes Mathematicae 26 (1999), 437-455
DOI: 10.4064/am-26-4-437-455
Abstract
Using tools of approximation theory, we evaluate rates of bias convergence for sequences of generalized L-statistics based on i.i.d. samples under mild smoothness conditions on the weight function and simple moment conditions on the score function. Apart from standard methods of weighting, we introduce and analyze L-statistics with possibly random coefficients defined by means of positive linear functionals acting on the weight function.
