A Functional Equality with Application to Nonparametric Estimation
碩士 === 國立中正大學 === 統計科學所 === 95 === Traditional kernel estimation is applicable for obtaining nonparametric estimate of a probability density function when sample size is large. This work introduces a new equality which is applicable for improving kernel estimation to achieve improved mean square err...
Main Authors: | TING CHI, 黃婷琪 |
---|---|
Other Authors: | Cheng-Hsiung Kao |
Format: | Others |
Language: | en_US |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/52844709702724051634 |
Similar Items
-
A nonparametric test for testing the equality of two distribution functions
by: CHEN, YI-LIANG, et al.
Published: (1987) -
Nonparametric functional estimation with applications to financial models
by: Aït-Sahalia, Yacine
Published: (2005) -
NONPARAMETRIC ESTIMATION OF DERIVATIVES WITH APPLICATIONS
by: Hall, Benjamin
Published: (2010) -
Nonparametric Density Estimation for Salience Region Segmentation
by: Shih-ting Chen, et al.
Published: (2005) - ON NONPARAMETRIC ESTIMATION OF DENSITY AND REGRESSION FUNCTIONS