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| 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 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/