Currently, I am intrested in parameter fitting of "Generalized Lambda 
Distribution".And I have found two packages in R related to Gld,Davies and gld. What's 
a pity that no method in Davies deals with fitting of gld,and "starship" used in 
package:gld is quite time-consuming when sample size is large.

So i wonder if there is "method of moments" or "least square" implementation available 
at now.

or

if u know the "method of moments"(or moment matching), i think u must know how to 
solve a optimization problem of two parameters,involing multiple "beta" functions.plz 
give me some hints. Thanks in advance.

Regards,
Jean Sun

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