Robust Weibull limits?

["Crawford.Winnie" <crawford.winnie@ensco.com>]

All,

 

I am using S-PLUS8 on a Windows XP PC.

 

I am trying to determine the best-fit distribution for a very large sample size. At this time I want to compare the output from the functions weibullRob and weibullMLE. In this specific example, the sample size is 24,775 in a vector named pspd. The function weibullMLE(pspd) works and produces output as expected, but when I use the function

 

>weibullRob(pspd)

 

I get the error

 

Problem in .Fortran("s_tmadve",: subroutine s_tmadve: 66 Inf value(s) in argument 1

Use traceback() to see the call stack

 

This is the call stack:

 

> traceback()

9: eval(action, sys.parent())

8: doErrorAction("Problem in .Fortran(\"s_tmadve\",: subroutine s_tmadve: 66 Inf value(s) in argument 1", 1000)

7: .Fortran("s_tmadve",

6: weibullRob(pspd)

5: eval(i, local)

4: source(auto.print = auto.print, exprs = substitute(exprs.literal))

3: script.run(exprs.literal = {

2: eval(_expression_(script.run(exprs.literal = {

1:

Message: Problem in .Fortran("s_tmadve",: subroutine s_tmadve: 66 Inf value(s) in argument 1

 

Could it be that the sample size is too large for the Robust Weibull? I do not know how to interpret the traceback output. Thanks for any help.

 

Win

 

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Winifred C. Crawford  Staff Scientist/Senior Meteorologist

ENSCO, Inc.

Aerospace Sciences and Engineering Division

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EMAIL:  crawford.winnie@ensco.com

 

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