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karl
Posted: Wed Apr 30, 2008 2:47 am
Guest
I asked this already in s.s.consult, but till now I ot only the answer
that it is easy.

How to estimate a Gamma process if we have for time points t_1,..,t_n
observed the values

S(t_i) + Z(t_i)

where S(t_i) is the value of the Gamma process and Z(t_i) is a
normally error term with constant variance. The Z(t_i) are independent.

Further complication is that for small t only positive values can be
observed. Here the error term has to be taken as

a truncated normal rv.

Any hints?

Thanks

Karl
Herman Rubin
Posted: Thu May 01, 2008 12:21 pm
Guest
In article <4818241b$0$7554$9b4e6d93@newsspool1.arcor-online.net>,
karl <oudeis@nononet.com> wrote:
Quote:
I asked this already in s.s.consult, but till now I ot only the answer
that it is easy.

How to estimate a Gamma process if we have for time points t_1,..,t_n
observed the values

S(t_i) + Z(t_i)

where S(t_i) is the value of the Gamma process and Z(t_i) is a
normally error term with constant variance. The Z(t_i) are independent.

Further complication is that for small t only positive values can be
observed. Here the error term has to be taken as

a truncated normal rv.

Any hints?

Thanks

Karl

I would like to discuss this further with you by email.
Would you please send me your email address?
--
This address is for information only. I do not claim that these views
are those of the Statistics Department or of Purdue University.
Herman Rubin, Department of Statistics, Purdue University
hrubin@stat.purdue.edu Phone: (765)494-6054 FAX: (765)494-0558
 
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