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                                       Details for article 11 of 17 found articles
 
 
  Fitting the generalized lambda distribution to data: a method based on percentiles
 
 
Title: Fitting the generalized lambda distribution to data: a method based on percentiles
Author: Karian, Zaven A.
Dudewicz, Edward J.
Appeared in: Communications in statistics
Paging: Volume 28 (1999) nr. 3 pages 793-819
Year: 1999
Contents: The generalized lambda distribution, GLD(λ1:,λ2:,λ3:,λ4), is a four-parameter family that has been used for fitting distributions to a wide variety of data sets. In almost all cases the method of moments has been used to determine the parameters of the GLD that fits a given data set, negating the possibility of applying those members of the GLD family that do not possess the first four moments and yet may provide superior fits to the data. This paper develops a method for fitting a GLD distribution to data that is based on percentiles rather than moments. This approach makes a larger portion of the GLD family accessible for data fitting and eases some of the computational difficulties encountered in the method of moments. Examples of the use of the proposed system are included.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 17 found articles
 
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