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343
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47
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28
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27
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41
Asymptotic normality of maximum likelihood estimators obtained from normally distributed but dependent observations
Heijmans, Risto D. H.
- In:
Econometric theory
2
(
1986
)
3
,
pp. 374-412
Persistent link: https://www.econbiz.de/10001072739
Saved in:
42
Inter-fuel substitution in Dutch manufacturing
Magnus, Jan R.
- In:
Applied economics
19
(
1987
)
12
,
pp. 1639-1664
Persistent link: https://www.econbiz.de/10001047292
Saved in:
43
Notation in econometrics : a proposal for a standard
Abadir, Karim Maher
(
contributor
); …
-
2001
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001547623
Saved in:
44
On the harm that pretesting does
Danilov, Dmitry L.
(
contributor
);
Magnus, Jan R.
(
contributor
)
-
2001
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001582643
Saved in:
45
Forecasting the winner of a tennis match
Klaassen, Franc
(
contributor
);
Magnus, Jan R.
(
contributor
)
-
2001
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001586584
Saved in:
46
On theil's errors
Magnus, Jan R.
(
contributor
);
Sinha, Ashoke K.
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001773672
Saved in:
47
On tests and significance in econometrics
Keuzenkamp, Hugo A.
;
Magnus, Jan R.
-
1994
Persistent link: https://www.econbiz.de/10000888030
Saved in:
48
A note on instrumental variables and maximum likelihood estimation procedures
Holly, Alberto
- In:
Annales d'économie et de statistique
(
1988
),
pp. 121-138
Persistent link: https://www.econbiz.de/10001054410
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49
On the maximum likelihood estimation of multivariate regression models containing serially correlated error components
Magnus, Jan R.
- In:
International economic review
29
(
1988
)
4
,
pp. 707-725
Persistent link: https://www.econbiz.de/10001056049
Saved in:
50
The exact multiperiod mean-square forecast error for the first-order autoregressive model with an intercept
Magnus, Jan R.
;
Pesaran, Bahram
-
1988
Persistent link: https://www.econbiz.de/10000747488
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