Heteroscedasticity testing after outlier removal
نویسندگان
چکیده
منابع مشابه
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Cluster analysis and outlier detection are strongly coupled tasks in data mining area. Cluster structure can be easily destroyed by few outliers; on the contrary, the outliers are defined by the concept of cluster, which are recognized as the points belonging to none of the clusters. However, most existing studies handle them separately. In light of this, we consider the joint cluster analysis ...
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ژورنال
عنوان ژورنال: Econometric Reviews
سال: 2020
ISSN: 0747-4938,1532-4168
DOI: 10.1080/07474938.2020.1735749