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Local Influence in Constrained General Linear Models

並列摘要


Constrained general linear models (CGLMs) have wide applications in practice. Similar to other data analysis, the identification of influential observations that may be potential outliers is an important step beyond in CGLMs. We develop local influence approach for detecting influential observations in CGLMs. The procedure makes use of the normal curvature and the direction achieving the maximum curvature to assess the local influences of minor perturbation of CGLMs. An illustrative example with a real data set is also reported.

被引用紀錄


莊精婷(2006)。照射工作週期與強度對光固化複合樹脂之影響〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/CYCU.2006.00467

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