منابع مشابه
Multivariate functional outlier detection
Functional data are occurring more and more often in practice, and various statistical techniques have been developed to analyze them. In this paper we consider multivariate functional data, where for each curve and each time point a p-dimensional vector of measurements is observed. For functional data the study of outlier detection has started only recently, and was mostly limited to univariat...
متن کاملRejoinder to 'multivariate functional outlier detection'
First of all we would like to thank the editor, Professor Andrea Cerioli, for inviting us to submit our work and for requesting comments from some esteemed colleagues. We were surprised by the number of invited comments and grateful to their contributing authors, all of whom raised important points and/or offered valuable suggestions. We are happy for the opportunity to rejoin the discussion. R...
متن کاملComments on: Multivariate functional outlier detection
First of all, we would like to congratulate M. Hubert, P. Rousseeuw and P. Segaert for this very interesting and stimulating work. It is clear that functional data are becoming ubiquitous in many disciplines and the development of appropriate statistical techniques is clearly needed. Moreover, outliers are very likely to occur in this type of data, where many measurements are taken by applying ...
متن کاملMultivariate Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial outliers can lead to the discovery of unexpected, interesting, and useful spatial patterns for further analysis. Previous work in spatial outlier detection focuses on detecting spatial outliers with a single attribute. I...
متن کاملOutlier Detection in Multivariate Data
The objective of this research is detection of outliers in multivariate data employing various distance measure, particularly using robust regression diagnosis technique. Several classical outlier identification methods are based on the sample mean and covariance matrix in general. But they do not always yield better result, as they themselves are affected by the outliers. Sometimes one outlier...
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ژورنال
عنوان ژورنال: Statistical Methods & Applications
سال: 2015
ISSN: 1618-2510,1613-981X
DOI: 10.1007/s10260-015-0297-8