The Generalized Lambda Distribution (GλD) is a four-parameter generalization of Tukey’s Lambda family. Several methods for estimating the parameters of the GλD have been reported in the literature, but the most popular one is the moment-method matching proposed by Ramberg and Schmeiser (1974). One of the drawbacks of the GλD is that the shape parameter also determines skewness. It seems reasonable that there should be three linear parameters determining position, scale, and skewness and two parameters determining the shapes of the two tails. This suggests a natural generalization of the GλD to give a five-parameter lambda distribution (FPLD)
Abstract Constructing skew and heavy-tailed distributions by transform-ing a standard normal variabl...
The generalized lambda distribution (GLD) is a versatile distribution that can accommodate a wide ...
This article introduces a new probability distribution capable of modeling positive data that presen...
The Generalized Lambda Distribution (GλD) is a four-parameter generalization of Tukey’s Lambda fami...
Description The generalised lambda distribution, or Tukey lambda distribution, provides a wide vari-...
The four-parameter Generalized Lambda distribution (GLD) can be used to approximate many probability...
Generalized lambda distribution (GLD) is a flexible distribution that can represent a wide variety o...
A new class of distribution function based on the symmetric densities is introduced, these transform...
Generalized lambda distribution (GLD) is a very useful mean to testing and fitting of data to well k...
Skewness and elongation are two factors that directly determine the shape of a probability distribut...
We consider the use of the generalized lambda distribution (GLD) family as a flexible distribution w...
The generalized lambda distribution (GLD) is a versatile distribution that can accommodate a wide ...
Selection and ranking (more broadly multiple decision) problems arise in many practical situations s...
We consider the use of the generalized lambda distribution (GLD) family as a flexible distribution w...
Throughout the physical and social sciences, researchers face the challenge of fitting statistical d...
Abstract Constructing skew and heavy-tailed distributions by transform-ing a standard normal variabl...
The generalized lambda distribution (GLD) is a versatile distribution that can accommodate a wide ...
This article introduces a new probability distribution capable of modeling positive data that presen...
The Generalized Lambda Distribution (GλD) is a four-parameter generalization of Tukey’s Lambda fami...
Description The generalised lambda distribution, or Tukey lambda distribution, provides a wide vari-...
The four-parameter Generalized Lambda distribution (GLD) can be used to approximate many probability...
Generalized lambda distribution (GLD) is a flexible distribution that can represent a wide variety o...
A new class of distribution function based on the symmetric densities is introduced, these transform...
Generalized lambda distribution (GLD) is a very useful mean to testing and fitting of data to well k...
Skewness and elongation are two factors that directly determine the shape of a probability distribut...
We consider the use of the generalized lambda distribution (GLD) family as a flexible distribution w...
The generalized lambda distribution (GLD) is a versatile distribution that can accommodate a wide ...
Selection and ranking (more broadly multiple decision) problems arise in many practical situations s...
We consider the use of the generalized lambda distribution (GLD) family as a flexible distribution w...
Throughout the physical and social sciences, researchers face the challenge of fitting statistical d...
Abstract Constructing skew and heavy-tailed distributions by transform-ing a standard normal variabl...
The generalized lambda distribution (GLD) is a versatile distribution that can accommodate a wide ...
This article introduces a new probability distribution capable of modeling positive data that presen...