2012
DOI: 10.1504/ijclm.2012.050397
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Rare, outlier and extreme: beyond the Gaussian model and measures

Abstract: Probability models for rare, outlier and extreme outcomes are different than the Gaussian (normal) distribution commonly used in management research. This paper illustrates the theoretical basis and implementation of these concepts. One example uses data on organisational size and compensation of CEOs in large US corporations in order to illustrate rare and outlier outcomes. Models that fit the data on these variables are very different than the Gaussian distribution, so mean, standard deviation and correlatio… Show more

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