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~subject:"Regression analysis"
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3
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2
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ECONIS (ZBW)
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1
A sample size requirement for SUR estimation
Griffiths, William E.
;
Duangkamon Chotikapanich
-
1999
Persistent link: https://www.econbiz.de/10001425108
Saved in:
2
Sample size requirements for estimation in SUR models
Griffiths, William E.
;
Skeels, Christopher L.
; …
-
2001
Persistent link: https://www.econbiz.de/10001593268
Saved in:
3
Sample size requirements for estimation in SUR models
Griffiths, William E.
;
Skeels, Christopher L.
; …
- In:
Handbook of applied econometrics and statistical inference
,
(pp. 575-590)
.
2002
Persistent link: https://www.econbiz.de/10001701999
Saved in:
4
Estimation of risk effects with seemingly unrelated regressions and panel data
Wan, Guanghua
;
Griffiths, William E.
;
Anderson, Jock R.
-
1989
Persistent link: https://www.econbiz.de/10000796076
Saved in:
5
Bayesian estimation of the linear regression model with an uncertain interval constraint on coefficients
Wan, Alan T. K.
;
Griffiths, William E.
-
1995
Persistent link: https://www.econbiz.de/10000923031
Saved in:
6
Bayesian estimation of the linear regression model with an uncertain interval constraint on coefficients
Wan, Alan T. K.
;
Griffiths, William E.
-
1995
Persistent link: https://www.econbiz.de/10000912048
Saved in:
7
Bayesian estimation of the linear regression model with an uncertain interval constraint on coefficients
Wan, Alan T. K.
- In:
Statistical papers
39
(
1998
)
1
,
pp. 109-118
Persistent link: https://www.econbiz.de/10001236260
Saved in:
8
Bayesian inference in the seemingly unrelated regressions model
Griffiths, William E.
-
2001
Persistent link: https://www.econbiz.de/10001593266
Saved in:
9
Gibbs samplers for a set of seemingly unrelated regressions
Griffiths, William E.
;
Valenzuela, Maria Rebecca J.
-
2004
Persistent link: https://www.econbiz.de/10002224536
Saved in:
10
Gibbs samplers for a set of seemingly unrelated regressions
Griffiths, William E.
(
contributor
); …
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002240603
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