首页> 中文会议>2008第四届海峡两岸应用统计学术研讨会 >Gcneralizod Least Squares Cross-Validation in Kernel Density Estimation

Gcneralizod Least Squares Cross-Validation in Kernel Density Estimation

摘要

The kernel density estination is the most popular method in density estimation. The main issue is bande width selection,which is a hot topic and is still frustration statisticians,The generalized least aquares cross-validation bandwidth selector is proposed,which significantly improves the classical selector for its variability and undersmoothing,adapts to different kinds of densities,and outperforms the existing bandwidth selectors in statistical literature and software.

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