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|Title: ||A kernel-type estimator for generalized quantiles|
|Authors: ||VERAVERBEKE, Noel|
|Keywords: ||Mathematical Statistics|
Non and semiparametric methods
|Issue Date: ||1987|
|Citation: ||Statistics and Probability Letters, 5(3), p. 175-180|
|Abstract: ||Let HF be the distribution function of h(X1,…,Xm), where h is a real valued function of m variables and X1,…,Xn (n gt-or-equal, slanted m) is an i.i.d. sample from a distribution function F. A kernel-type estimator is proposed for the generalized quantile H−1F (p) (0 < p < 1). Under fairly general conditions we establish asymptotic normality of the estimator and consistent estimation of its asymptotic variance.|
|Type: ||Journal Contribution|
|Appears in Collections: ||Research publications|
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