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~subject:"Maximum-Likelihood-Schätzung"
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Maximum-Likelihood-Schätzung
Maximum likelihood estimators
32
maximum likelihood estimators
17
Estimation theory
9
Robustness
9
Schätztheorie
9
Modified maximum likelihood estimators
8
Capital asset pricing model
6
Student t family
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Maximum likelihood estimation
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capital asset pricing model
5
modified maximum likelihood estimators
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student t family
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CAPM
4
robustness
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Asymptotic distribution
3
Finite normal mixtures
3
Fisher information
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Fisher information matrix
3
Robustes Verfahren
3
Akaike information criterion (AIC)
2
Bayesian averaging of maximum likelihood estimators
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Bayesian information criterion (BIC)
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Branching processes
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Capital Asset Pricing Model
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Co-kurtosis
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Conway–Maxwell Poisson (COM-Poisson) distribution
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Covariance
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Dynamic panels
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EM algorithm
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Estimation
2
Generalized linear models
2
Generalized missing-indicator method
2
Large deviations
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Likelihood ratio test
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Long-term survivor
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M-estimators
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Fiorentini, Gabriele
2
Sentana, Enrique
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Becker, Daniel
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Bian, Guorui
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Kan, Raymond
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McAleer, Michael
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Robotti, Cesare
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Wong, Wing Keung
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Management science : journal of the Institute for Operations Research and the Management Sciences
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ECONIS (ZBW)
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Essays in econometrics with focus on smooth minimum distance inference
Becker, Daniel
-
2021
Persistent link: https://www.econbiz.de/10013285043
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2
Discrete mixtures of normals pseudo
maximum
likelihood
estimators
of structural vector autoregressions
Fiorentini, Gabriele
;
Sentana, Enrique
-
2020
Persistent link: https://www.econbiz.de/10012310522
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3
Robust estimation and forecasting of the capital asset pricing model
Bian, Guorui
;
McAleer, Michael
;
Wong, Wing Keung
-
2013
Persistent link: https://www.econbiz.de/10009724796
Saved in:
4
Discrete mixtures of normals pseudo
maximum
likelihood
estimators
of structural vector autoregressions
Fiorentini, Gabriele
;
Sentana, Enrique
-
2020
Persistent link: https://www.econbiz.de/10012314458
Saved in:
5
The exact distribution of the Hansen-Jagannathan bound
Kan, Raymond
;
Robotti, Cesare
- In:
Management science : journal of the Institute for …
62
(
2016
)
7
,
pp. 1915-1943
Persistent link: https://www.econbiz.de/10011518611
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