Robust deviance residuals

碩士 === 國立中央大學 === 統計研究所 === 105 === Deviance plays a crucial role in model checking. It is the scaled difference between the model entertained and the so-called saturated model. Obviously, by definition deviance is model-dependent. This research explores the possibility for constructing less model-d...

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Main Authors: Chih-Min Tsan, 詹智閔
Other Authors: Tsung-Shan Tsou
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/63uy97
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spelling ndltd-TW-105NCU053370142019-05-16T00:08:08Z http://ndltd.ncl.edu.tw/handle/63uy97 Robust deviance residuals 強韌機差 Chih-Min Tsan 詹智閔 碩士 國立中央大學 統計研究所 105 Deviance plays a crucial role in model checking. It is the scaled difference between the model entertained and the so-called saturated model. Obviously, by definition deviance is model-dependent. This research explores the possibility for constructing less model-dependent or robust deviances that can be used for checking the appropriateness of a regression specification without knowing the true underlying distribution. Tsung-Shan Tsou 鄒宗山 2017 學位論文 ; thesis 180 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中央大學 === 統計研究所 === 105 === Deviance plays a crucial role in model checking. It is the scaled difference between the model entertained and the so-called saturated model. Obviously, by definition deviance is model-dependent. This research explores the possibility for constructing less model-dependent or robust deviances that can be used for checking the appropriateness of a regression specification without knowing the true underlying distribution.
author2 Tsung-Shan Tsou
author_facet Tsung-Shan Tsou
Chih-Min Tsan
詹智閔
author Chih-Min Tsan
詹智閔
spellingShingle Chih-Min Tsan
詹智閔
Robust deviance residuals
author_sort Chih-Min Tsan
title Robust deviance residuals
title_short Robust deviance residuals
title_full Robust deviance residuals
title_fullStr Robust deviance residuals
title_full_unstemmed Robust deviance residuals
title_sort robust deviance residuals
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/63uy97
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AT zhānzhìmǐn robustdevianceresiduals
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AT zhānzhìmǐn qiángrènjīchà
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