摘要
We define a wavelet linear estimator for density derivative in Besov space based on a negatively associated stratified size-biased random sample. We provide two upper bounds of wavelet estimations on L^p （1 ≤ p 〈 ∞） risk.
We define a wavelet linear estimator for density derivative in Besov space based on a negatively associated stratified size-biased random sample. We provide two upper bounds of wavelet estimations on L^p （1 ≤ p 〈 ∞） risk.
基金
Acknowledgements The author would like to thank Professor Youming Liu, for his helpful guidance. This work was supported by the National Natural Science Foundation of China （Grant No. 11271038） and the Research Project of Baoji University of Arts and Sciences （ZK14060）.
