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Excel 2010 Statistics #32: Detecting Outliers :
Ratings : 63 %
outliers: Tests for outliers. A collection of some tests commonly used for identifying outliers.
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Detecting Outliers :
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Statistics - How to find outliers :
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Detecting Outliers in Data :
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Finding and Removing Outliers with R Software - Missing Data, Cleaning Up Data :
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The Right Way to Detect Outliers Outlier Labeling Rule (part 2) :
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How to detect and exclude outliers in R?. Suppose I am reading data from a file and the data contains some outliers.
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Bonferroni test for outliers in linear models Description. (...) These are two-sided Bonferroni significance levels for testing a single outlier. Value.
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Ratings : 68 %
To test whether the maximum value is an outlier, the test statistic is. with Y max denoting the maximum value. (...) Statistical tests; Statistical outliers;
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Ratings : 50 %
The Right Way to Detect Outliers - Outlier Labeling Rule (part 1) :
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Testing for Outliers in Excel - Single Variable Sample :
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Analyzing coverage of R unit tests in (...) observations When plotting a boxplot using R. An outlier is an observation that (...) points in R is very simply when
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Ratings : 30 %
R Statistics tutorial: Examining outliers | lynda.com :
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Statistics with R: Example of outlier and leverage analysis part 1 of 3 :
Ratings : 17 %