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Statistik
104
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Journal of the Royal Statistical Society
233
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218
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183
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175
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166
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164
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130
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93
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93
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84
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81
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79
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55
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51
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50
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47
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ECONIS (ZBW)
117
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1
Censored normal regression with measurement error on the dependent variable
Stapleton, Davis C.
;
Young, Douglas J.
-
1981
Persistent link: https://www.econbiz.de/10003527883
Saved in:
2
Convenient methods for estimation of linear regression models with ma(1) errors
MacDonald, Glenn M.
;
MacKinnon, James G.
-
1983
Persistent link: https://www.econbiz.de/10003529372
Saved in:
3
Full maximum likelihood estimation of second-order autoregressive error models
Beach, Charles M.
;
Mackinnon, James G.
-
1977
Persistent link: https://www.econbiz.de/10003486110
Saved in:
4
An exogeneity test for the simultaneous equation Tobit model with an application to labour supply
Smith, Richard
-
1983
-
Rev
Persistent link: https://www.econbiz.de/10000327207
Saved in:
5
Maximum likelihood estimation of singular equation systems with autoregressive disturbances
Beach, Charles M.
;
MacKinnon, James G.
-
1977
Persistent link: https://www.econbiz.de/10003486149
Saved in:
6
Estimation and testing for functional form and autocorrelation: a simultaneous approach
Savin, N. E.
;
White, Kenneth J.
-
1976
Persistent link: https://www.econbiz.de/10003669374
Saved in:
7
Cyclical innovations in wages, prices and employment : theory and U. K. evidence
Alogoskoufis, George S.
-
1982
Persistent link: https://www.econbiz.de/10003468948
Saved in:
8
Estimation and hypothesis testing in singular equation systems with autoregressive disturbances
Berndt, Ernst R.
;
Savin, N. Eug`ene
-
1974
Persistent link: https://www.econbiz.de/10003490619
Saved in:
9
Conflict among criteria fost testing hypotheses in the multivariate linear regression model
Berndt, Ernst R.
;
Savin, N. Eugène
-
1974
Persistent link: https://www.econbiz.de/10003507782
Saved in:
10
Conflict among criteria fost testing hypotheses in the multivariate linear regression model
Berndt, Ernst R.
;
Savin, N. Eugène
-
1975
-
Rev.
Persistent link: https://www.econbiz.de/10003507804
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