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subject:"Großbritannien"
~subject:"ARCH-Modell"
~type_genre:"Thesis"
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Search: subject_exact:"Estimation theory"
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Großbritannien
ARCH-Modell
Estimation theory
687
Schätztheorie
682
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527
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527
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114
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113
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111
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Berner Beiträge zur Nationalökonomie
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ERIM Ph. D. series research in management / Erasmus Institute of Management
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Lecture notes in economics and mathematical systems : LNEMS
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Ph.D-afhandling / Økonomisk Institut, Københavns Universitet
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ECONIS (ZBW)
22
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Conditional density models integrating fuzzy and probabilistic representations of uncertainty
Almeida e Santos Nogueira, Rui Jorge
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2014
Persistent link: https://www.econbiz.de/10010432244
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2
Asymptotic theory for M-estimators in general autoregressive conditional heteroscedastic time series models
Tinkl, Fabian
-
2013
Persistent link: https://www.econbiz.de/10010408637
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3
Inference and testing in multivariate GARCH models
Pedersen, Rasmus Søndergaard
-
2015
Persistent link: https://www.econbiz.de/10011433554
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4
Empirical analysis of the EU term structure of interest rates
Kotchlamazashvili, Zurab
-
2014
Persistent link: https://www.econbiz.de/10010475329
Saved in:
5
Essays on fine structure of asset returns, jumps, and stochastic volatility
Yu, Jung-suk
-
2006
Persistent link: https://www.econbiz.de/10003973904
Saved in:
6
Aggregate consumption expenditure and the role of the income distribution
Schmalenbach, Anke
-
2006
Persistent link: https://www.econbiz.de/10003392062
Saved in:
7
Modern econometric analysis : theory and applications
Okimoto, Tatsuyoshi
-
2005
Persistent link: https://www.econbiz.de/10003905688
Saved in:
8
Advances in the specification and the estimation of multivariate GARCH models
Rombouts, Jeroen V. K.
-
2004
Persistent link: https://www.econbiz.de/10002362723
Saved in:
9
Three essays on modeling conditional correlation
Sheppard, Kevin
-
2004
Persistent link: https://www.econbiz.de/10003550225
Saved in:
10
Tail estimation and conditional modeling of heteroscedastic time-series
Paolella, Marc S.
-
1999
-
1. Aufl.
Persistent link: https://www.econbiz.de/10001388258
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