An Integration Type Cross-validation Criterion
碩士 === 國立東華大學 === 應用數學系 === 90 === In this paper, the idea of integrated square error is applied to construct a new version of cross-validation. Simulation studies demonstrate that the kernel estimator using the value of bandwidth produced by our suggested method has better performance than that by...
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ndltd-TW-090NDHU55070052015-10-13T10:16:13Z http://ndltd.ncl.edu.tw/handle/46232976057607556577 An Integration Type Cross-validation Criterion 積分型式的交叉有效法 Yuh-Chin Hwang 黃裕欽 碩士 國立東華大學 應用數學系 90 In this paper, the idea of integrated square error is applied to construct a new version of cross-validation. Simulation studies demonstrate that the kernel estimator using the value of bandwidth produced by our suggested method has better performance than that by ordinary cross-validation, in the sence of having smaller sample integrated mean square error. Chih-Kang Chu 朱至剛 2002 學位論文 ; thesis 19 zh-TW |
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碩士 === 國立東華大學 === 應用數學系 === 90 === In this paper, the idea of integrated square error is applied to construct a new version of cross-validation.
Simulation studies demonstrate that the kernel estimator using the value of bandwidth produced by our suggested method has better performance than that by ordinary cross-validation, in the sence of having smaller sample integrated mean square error.
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author2 |
Chih-Kang Chu |
author_facet |
Chih-Kang Chu Yuh-Chin Hwang 黃裕欽 |
author |
Yuh-Chin Hwang 黃裕欽 |
spellingShingle |
Yuh-Chin Hwang 黃裕欽 An Integration Type Cross-validation Criterion |
author_sort |
Yuh-Chin Hwang |
title |
An Integration Type Cross-validation Criterion |
title_short |
An Integration Type Cross-validation Criterion |
title_full |
An Integration Type Cross-validation Criterion |
title_fullStr |
An Integration Type Cross-validation Criterion |
title_full_unstemmed |
An Integration Type Cross-validation Criterion |
title_sort |
integration type cross-validation criterion |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/46232976057607556577 |
work_keys_str_mv |
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1716827640170545152 |