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- W2072482464 abstract "Synoptic AbstractThe generahzed lambda distribution (gld) is a family of distributions that can take on a very wide range of shapes within one distributional form. We present a fitting method for the gld using location and scale-free shape functionals to fit the shape functions before fitting the location and scale parameters. Such functions provide an alternative to the moments as a “shape-first” approach, with the advantage of being defined for parameter values where moments are infinite. We investigate the performance of the method with a simulation study and illustrate its use to choose parameter values of the gld to approximate other distributions." @default.
- W2072482464 created "2016-06-24" @default.
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- W2072482464 date "2010-10-01" @default.
- W2072482464 modified "2023-09-28" @default.
- W2072482464 title "Fitting the Generalized Lambda Distribution with Location and Scale-Free Shape Functionals" @default.
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- W2072482464 doi "https://doi.org/10.1201/b10159-13" @default.
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