TY - JOUR
T1 - Nonparametric estimation of a quantile density function by wavelet methods
AU - Chesneau, Christophe
AU - Dewan, Isha
AU - Doosti, Hassan
PY - 2016/2/2
Y1 - 2016/2/2
N2 - In this paper nonparametric wavelet estimators of the quantile density function are proposed. Consistency of the wavelet estimators is established under the Lp risk. A simulation study illustrates the good performance of our estimators.
AB - In this paper nonparametric wavelet estimators of the quantile density function are proposed. Consistency of the wavelet estimators is established under the Lp risk. A simulation study illustrates the good performance of our estimators.
KW - quantile density estimation
KW - rates of convergence
KW - wavelet methods
UR - http://www.scopus.com/inward/record.url?scp=84940508986&partnerID=8YFLogxK
U2 - 10.1016/j.csda.2015.08.006
DO - 10.1016/j.csda.2015.08.006
M3 - Article
AN - SCOPUS:84940508986
SN - 0167-9473
VL - 94
SP - 161
EP - 174
JO - Computational Statistics and Data Analysis
JF - Computational Statistics and Data Analysis
ER -