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CSDA
2006

GS-distributions: A new family of distributions for continuous unimodal variables

13 years 11 months ago
GS-distributions: A new family of distributions for continuous unimodal variables
The choice of the best-suited statistical distribution for modeling data is not a trivial issue. Unless a sound theoretical background exists for selecting a particular distribution, one will usually resort to testing various candidates and select a distribution based on its fit to the observed data. While this is a legitimate strategy, it is more objective and efficient to define a sufficiently general family that can be used for this purpose. This approach has a long tradition in statistics, and resulted in various families of distributions, most notably Pearson's. Given such a family, modeling a data set requires estimating the appropriate parameters within this family and assessing the resulting fit. As a contribution to this methodology, the Generalized S-distribution is introduced here as a new family of distributions that can serve as statistical models for unimodal continuous distributions. The article begins with a description of the rationale for defining this family. I...
J. M. Muiño, Eberhard O. Voit, Albert Sorri
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where CSDA
Authors J. M. Muiño, Eberhard O. Voit, Albert Sorribas
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