Robust regression by self-updating process
碩士 === 國立臺灣大學 === 應用數學科學研究所 === 105 === Robust regression based on an M-estimator has been developed by Huber since 1973. A common algorithm is to perform weighted least-squares in which the weights are iteratively updated according to the new fitted line. In this paper, we will present an iterative...
Main Authors: | Chih-Hsuan Wu, 吳芷瑄 |
---|---|
Other Authors: | Ting-Li Chen |
Format: | Others |
Language: | en_US |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/69euxq |
Similar Items
-
USING LABEL NOISE ROBUST LOGISTIC REGRESSION FOR AUTOMATED UPDATING OF TOPOGRAPHIC GEOSPATIAL DATABASES
by: A. Maas, et al.
Published: (2016-06-01) -
The analysis of the effect of computer self-efficacy on ERP success
by: Chih-Hsuan Chuang, et al.
Published: (2007) -
Robust Regression
by: Su-Yun Liu, et al.
Published: (2002) -
Using Electrocardiography and Markov Model to Build Biometric Systems
by: WU, CHIH-HSUAN, et al.
Published: (2018) -
The studies of SIRT6 in transcriptional regulation
by: Chih-Hsuan Wu, et al.
Published: (2010)