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Re: st: RE: Reconstructing the distribution from interval data


From   Ronan Conroy <rconroy@rcsi.ie>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: Reconstructing the distribution from interval data
Date   Thu, 9 Sep 2010 10:53:50 +0100

On 8 MFómh 2010, at 19:34, Austin Nichols wrote:

The ML approach seems preferable; for income data, see e.g.
http://fmwww.bc.edu/repec/bocode/g/gbgfit.html
and if you assume a family of distributions for #procedures
(Poisson, maybe?), you can estimate those parameters the same way.

And here is someone working on the problem back in 1971, when your mother and I were young:

Maximum Likelihood Estimation from Grouped Poisson Data
Walter H. Carter, Jr., Jacob Van Bowen, Jr. and Raymond H. Myers
Journal of the American Statistical Association
Vol. 66, No. 334 (Jun., 1971), pp. 351-353
http://www.jstor.org/pss/2283935



Ronán Conroy
Associate Professor
Division of Population Health Sciences
=================================

rconroy@rcsi.ie
Royal College of Surgeons in Ireland
Epidemiology Department,
Beaux Lane House, Dublin 2, Ireland
+353 (0)1 402 2431
+353 (0)87 799 97 95
+353 (0)1 402 2764 (Fax - remember them?)
http://rcsi.academia.edu/RonanConroy

P    Before printing, think about the environment





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