A Simulation Study of Bandwidth Selection for Local Regression Using Full-Information Criteria

碩士 === 國立清華大學 === 統計學研究所 === 100 === Bandwidth selection for local regression methods have been studied in the literature. However, the classical criteria such as AICc and GCV ignore some information from the estimated coefficients, leading to biased assessment. In this work, we propose utilizing fu...

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Bibliographic Details
Main Authors: Chao, Chih-Ping, 趙致平
Other Authors: Huang, Li-Shan
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/23348613697787891188