That's called "interval censoring". The "likelihood" for such cases is the probability of what was observed, i.e., (pgamma3(10, ..., - pgamma3(0, ...))*... . For this kind of problem, I have in the past written a function to compute the log(likelihood) and then passed that function to "optim".

hope this helps. spencer graves

M�rten Bjellerup wrote:

I have 'grouped' data, that is in the form of:

Interval        Median
0-9.9%:        -25
10-19.9%:     0
20-29.9%:     3
30-39.9%:     10
40-49.9%:     50
50-59.9%:     200
et cetera

and want to fit a three parameter gamma distribution. Does anyone know of an existing routine for doing this (or something similar)? Any help or comment is much appreciated.

Regards,

M�rten

M�rten Bjellerup
Doctoral Student in Economics
School of Management and Economics
V�xj� University
SE-351 95  V�xj�
Sweden

Tel: +46 470 708410 Fax: +46 470 82478 Mobile: +46 70 969 88 88 Mail: [EMAIL PROTECTED] Web: http://www.ehv.vxu.se
-------------------------------------
"Forecasting is like trying to
drive a car blindfolded and
following directions given by a person who is looking
out of the back window"


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