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xanthos george science forum beginner
Joined: 22 Aug 2005
Posts: 4
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Posted: Tue May 23, 2006 3:07 am Post subject:
parameters estimation
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for i=1,2,3,...n j=1,2,3,...m
and e(i,j) ~Normal(0, ó^2/w(i,j))
y(i,j) = a+b(i)+ã(j)+e(i,j)
if y(i,j) values are known
How can i estimate a, b(i) and ã(j) parameters ?
Thanks alot |
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Ray Koopman science forum Guru Wannabe
Joined: 25 Mar 2005
Posts: 216
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Posted: Tue May 23, 2006 4:04 am Post subject:
Re: parameters estimation
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xanthos george wrote:
| Quote: | for i=1,2,3,...n j=1,2,3,...m
and e(i,j) ~Normal(0, ó^2/w(i,j))
y(i,j) = a+b(i)+ã(j)+e(i,j)
if y(i,j) values are known
How can i estimate a, b(i) and ã(j) parameters ?
Thanks alot
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Use weighted least squares, weighting each y by the corresponding w.
But note that you need some sort of constraints on b and ã,
such as setting one member of each set to zero,
or forcing each set to sum to zero. |
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xanthos george science forum beginner
Joined: 22 Aug 2005
Posts: 4
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Posted: Tue May 23, 2006 5:20 am Post subject:
Re: parameters estimation
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Thanks very much mr R Koopmam
Do you know whrere i can find any solved example ?
? "Ray Koopman" <koopman@sfu.ca> ?????? ??? ??????
news:1148357095.169498.185910@i39g2000cwa.googlegroups.com...
xanthos george wrote:
| Quote: | for i=1,2,3,...n j=1,2,3,...m
and e(i,j) ~Normal(0, ó^2/w(i,j))
y(i,j) = a+b(i)+ã(j)+e(i,j)
if y(i,j) values are known
How can i estimate a, b(i) and ã(j) parameters ?
Thanks alot
|
Use weighted least squares, weighting each y by the corresponding w.
But note that you need some sort of constraints on b and ã,
such as setting one member of each set to zero,
or forcing each set to sum to zero. |
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| Back to top |
|
 |
Ray Koopman science forum Guru Wannabe
Joined: 25 Mar 2005
Posts: 216
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Posted: Tue May 23, 2006 5:48 pm Post subject:
Re: parameters estimation
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xanthos george wrote:
| Quote: | Thanks very much mr R Koopmam
Do you know whrere i can find any solved example ?
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Read up on analysis of variance (anova). What you're describing is
a two-way anova model for the cell means, with w(i,j) playing the
role of the sample size in cell (i,j). You will probably have to use
the general linear model (GLM) approach to estimating the parameters. |
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