Statistical modeling of skew-normal distributions provides a versatile framework for capturing asymmetry in univariate and multivariate data. By introducing a shape parameter to the classical normal ...
Log normal-like concentration distributions are ubiquitously observed in the environment. However, the mechanistic origins are not well understood. In this paper, we ...
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The Importance of Non-Parametric Tests in Statistical Analysis
Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions, often ...
When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...
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