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Artificial neural networks versus multivariate statistics : an application from economics
Cooper, John C. B. - 1998
Persistent link: https://www.econbiz.de/10000683183
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Multivariate rank-based forecast combining techniques
Klapper, Matthias - 1999
Persistent link: https://www.econbiz.de/10001366044
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Multivariate classification of business phases
Weihs, Claus; Röhl, Michael Claus; Theis, Winfried - 1999
Persistent link: https://www.econbiz.de/10001387640
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A stochastic variance factor model for large datasets and an application to S&P data
Cipollini, Andrea (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001920657
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Determination of optimal prediction oriented multivariate latent factor models using loss functions
Weihs, Claus; Hothorn, Torsten - 2002
Persistent link: https://www.econbiz.de/10001742155
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Stability of multivariate representation of business cycles over time
Weihs, Claus; Garczarek, Ursula - 2002
Persistent link: https://www.econbiz.de/10001742182
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What do German short-term interest rates tell us about future inflation?
Grech, Harald - 2004
Persistent link: https://www.econbiz.de/10002718486
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Latent variable analysis and partial correlation graphs for multivariate time series
Fried, Roland; Didelez, Vanessa - 2003
Persistent link: https://www.econbiz.de/10001788629
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The desirability index as an instrument for multivariate process control
Trautmann, Heike (contributor) - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002363240
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Application and use of multivariate control charts in a BTA deep hole drilling process
Messaoud, Amor; Theis, Winfried; Weihs, Claus; Hering, Franz - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002141458