Αποτελέσματα Αναζήτησης
1 Απρ 2013 · The presence of outliers, which are data points that deviate markedly from others, is one of the most enduring and pervasive methodological challenges in organizational science research. We...
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...
procedures applied to the whole set of data, to specific identification of Extensive tables of appropriate statistical functions are presented in an outliers as the facets of principal interest in the data). We discuss the Appendix, to aid the practical worker in the use of the different procedures.
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.
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.
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.
This work demonstrates how to identify outliers in electoral data using informatics methods and suggests that if the data contains significant outliers, the analyst should consider the use of robust statistical techniques.
