[Statlist] Séminaires de Statistique - Institut de Statistique, Université de Neuchâtel

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S�minaire de Statistique 
Institut de Statistique, Universit� de Neuch�tel 

Pierre � Mazel 7 (1er �tage,salle 110), Neuch�tel,

http://www2.unine.ch/statistics

Mardi 17 avril 2007, 11h00

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Beat Hulliger, Fachhochschule Nordwestschweiz

 

Abstract : Outliers and Influential Observations in Establishment Surveys

 

The detection and treatment of outliers in data with missing values is an important part of the editing and imputation process of surveys, in particular of establishment surveys. The application of the BACON-EEM algorithm and of Transformed Rank Correlations to the famous MU284 data set of Swedish Municipalities shows how these methods work in practice. From the point of view of the analysis of a survey it is important to know the influential observations for the statistics used in the analysis. Since outliers are defined with respect to a specific model they may not coincide with influential observations. A specific form of influence measure is used in the so called selective editing, which tries to target the editing and imputation effort to the important errors. The relation between outliers, influence measures and the score function is discussed and illustrated with the MU284 data set.


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