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Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods

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Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods

Zaven A. Karian, Edward J. Dudewicz
Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods
CRC | ISBN 1584880694 | 2000 | 435 pages | DJVU | 3.3 MB

Throughout the physical and social sciences, investigators face a common major problem: fitting a statistical distribution to a set of data. Researchers have proposed various schemes to address this issue, resulting in an even more intractable problem: for a specific application, there may be 39 or more applicable distributions. In Fitting Statistical Distributions, the authors present in-depth discussions of the Generalized Lambda Distribution (GLD) - a flexible, four-parameter family of probability distributions - and the Extended GLD (EGLD), which provides an even more effective way of using the GLD.