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~subject:"regression estimators"
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regression estimators
Estimation theory
5
Schätztheorie
5
Regression analysis
4
Regressionsanalyse
4
expectations hypothesis
4
heavy tails
4
Constraint weighted bootstrapping
2
Equality
2
Estimation
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Inequality
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Linear regression estimators
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Restrictions
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Schätzung
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Yield curve
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Zinsstruktur
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estimation methods
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linear regression estimators
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self-consistent model
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Asymptotic Efficency
1
Asymptotic efficiency
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Bootstrap
1
Bootstrap approach
1
Bootstrap-Verfahren
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Combined regression estimators
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Horvitz–Thompson estimator
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Innovation diffusion
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Innovationsdiffusion
1
Kleinste-Quadrate-Methode
1
LTS estimators
1
Least squares method
1
Linear regression model
1
Local polynomial kernel regression
1
Measurement error
1
Median estimation
1
Model-assisted approach
1
Multicollinearity
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OLS estimators
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Preliminary test estimator
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Probability theory
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Mikosch, Thomas
4
Vries, Casper G. de
3
de Vries, Casper G.
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Tinbergen Institute
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Tinbergen Instituut
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Tail Probabilities for
Regression
Estimators
Mikosch, Thomas
;
de Vries, Casper G.
-
2006
. Then the distributions of the
regression
estimators
are heavy tailed themselves. This is relevant for regressions involving …
Persistent link: https://www.econbiz.de/10010325358
Saved in:
2
Tail probabilities for
regression
estimators
Mikosch, Thomas
;
Vries, Casper G. de
-
2006
. Then the distributions of the
regression
estimators
are heavy tailed themselves. This is relevant for regressions involving …
Persistent link: https://www.econbiz.de/10011349717
Saved in:
3
Tail Probabilities for
Regression
Estimators
Mikosch, Thomas
;
Vries, Casper G. de
-
Tinbergen Institute
-
2006
. Then the distributions of the
regression
estimators
are heavy tailed themselves. This is relevant for regressions involving …
Persistent link: https://www.econbiz.de/10005137172
Saved in:
4
Tail Probabilities for
Regression
Estimators
Mikosch, Thomas
;
Vries, Casper G. de
-
Tinbergen Instituut
-
2006
. Then the distributions of the
regression
estimators
are heavy tailed themselves. This is relevant for regressions involving …
Persistent link: https://www.econbiz.de/10011256753
Saved in:
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