Multivariate Outlier Detection and Treatment in Business Surveys
نویسنده
چکیده
Multivariate outlier detection based on the Mahalanobis distance with the BACON-EEM algorithm, the TRC algorithm and the ER algorithm is presented and imputation of outliers and further missing values is discussed. The methods are illustrated with a data set on Swedish municipalities. The relation between outliers, influential observations and selective editing is explored. Finally robust multivariate imputation with survey data is discussed.
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تاریخ انتشار 2007