Αποτελέσματα Αναζήτησης
30 Ιουν 2010 · Outliers are observations or measures that are suspicious because they are much smaller or much larger than the vast majority of the observations. These observations are problematic because they...
- Help Center
© 2008-2024 ResearchGate GmbH. All rights reserved. Terms;...
- Help Center
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...
14 Ιαν 2013 · 1. Single construct outliers: Data values that are unusually large or small compared to the other values of the same construct. These points typically fall in the tails of a data distribution. 2. Error outliers: Data points that lie at a distance from other data points because they are the result of inaccuracies.
1 Μαρ 2024 · Harter produced a table of percentile values of the range distribution for normally distributed data with different sample sizes up to sample size n = 100. The authors proposed two approaches to contaminate the data with outliers: mean value contamination and standard deviation contamination.
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...
In this chapter, we explore the use of the range statistic and its distribution in order to identify outliers in univariate data. We propose to standardize the range statistic by the interquartile range used in the construction of the boxplot discussed
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.
