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1 Ιαν 2004 · The goal of this paper is to summarize the various potential causes of extreme scores in a data set (e.g., data recording or entry errors, motivated mis-reporting, sampling errors, and...
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The goal of this paper is to summarize the various potential...
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1 Απρ 2013 · Our literature review uncovered (a) 14 unique and mutually exclusive outlier definitions, 39 outlier identification techniques, and 20 different ways of handling outliers; (b) inconsistencies...
f outliers in a set of data. We examine the different interests (from rejection of unacceptable contamination, through the accommodation of outliers with reduced influence in robust procedures applied to the whole set of data, to specific identification of outliers as the facets of pri.
14 Ιαν 2013 · There are two types of influential outliers: (a) model fit outliers and (b) prediction outliers. Model fit outliers are data points whose presence alters the fit of a model, and prediction outliers are data points whose presence alters parameter estimates.
30 Ιουν 2010 · Examples of various outliers found in regression analysis. Case 1 is an outlier with respect to X. Case 2 is an outlier with respect to Y. Case 3 is an outlier with respect to X and Y.
Definitions. What do we mean by an outlier, exactly? Motivation. Do outliers really matter? Detection. How to detect outliers? Treatment. How to deal with outliers? 2. Important premise. Suggestions shared in this lecture are not a substitute for the protocols that NSOs have in place to ensure data quality.
use summary descriptive statistics (e.g., skewness and kurtosis) to help determine the shape of a continuous variable’s distribution. create and interpret stem-and-leaf plots and boxplots to help determine the shape of a distribution and identify outliers.
