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Classification and Clustering in Business Cycle Analysis
Edité par
Duncker & Humblot, 2007
ISBN 10 : 3428124251
ISBN 13 : 9783428124251
Ancien ou d'occasion
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Vendeur : SKULIMA Wiss. Versandbuchhandlung, Westhofen, Allemagne
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Etat : Sehr Gut. Zustandsbeschreibung: schwarze Filzstiftstriche auf Schnitt. Edited by Ullrich Heilemann and Claus Weihs. 166 Seiten mit Abb. und Tab., broschiert (Schriften des Rheinisch-Westfälischen Instituts für Wirtschaftsforschung; Band 79/Duncker & Humblot 2007). Statt EUR 68,00. Gewicht: 279 g - Softcover/Taschenbuch. N° de réf. du vendeur 597896
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Classification and Clustering in Business Cycle Analysis.
Edité par
Duncker & Humblot, 2007
ISBN 10 : 3428124251
ISBN 13 : 9783428124251
Neuf
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Vendeur : ISD LLC, Bristol, CT, Etats-Unis
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paperback. Etat : New. 1st. N° de réf. du vendeur 1378621
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Classification and Clustering in Business Cycle Analysis.
Edité par
Duncker & Humblot, 2007
ISBN 10 : 3428124251
ISBN 13 : 9783428124251
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance . N° de réf. du vendeur 4534553
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Classification and Clustering in Business Cycle Analysis.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Neuware - The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance of the economy regarding 'upswing', 'recession', or 'boom' periods, i. e. the classification of the state of the economy into a limited number of discrete states. In this context the principal challenge is to reduce the multifaceted and sometimes abundant quantitative information about the business cycle to such qualitative statements in an efficient way. For more than six years this task was the focus of the project 'Multivariate determination and analysis of business cycles' within the SFB 475 'Reduction of complexity in multivariate data structures', funded by the German Research Foundation (DFG).The necessity for complexity reduction is, of course, not unique to business cycle analysis but is studied in many fields and in a number of ways. This broad interest in the reduction of problem dimensionality and in the appropriate combination of data and of theory caused the RWI Essen and the Statistical Department of the University of Dortmund in January 2002 to hold a workshop at the RWI Essen where the findings of this and similar projects were presented and discussed. The presentpublication collects revised versions of the papers presented at this workshop. Although the workshop took place some five years ago, these papers mark an importent juncture in the development of business cycle research.; The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance of the economy regarding »upswing«, »recession«, or »boom« periods, i. e. the classification of the state of the economy into a limited number of discrete states. In this context the principal challenge is to reduce the multifaceted and sometimes abundant quantitative information about the business cycle to such qualitative statements in an efficient way. For more than six years this task was the focus of the project »Multivariate determination and analysis of business cycles« within the SFB 475 »Reduction of complexity in multivariate data structures«, funded by the German Research Foundation (DFG).The necessity for complexity reduction is, of course, not unique to business cycle analysis but is studied in many fields and in a number of ways. This broad interest in the reduction of problem dimensionality and in the appropriate combination of data and of theory caused the RWI Essen and the Statistical Department of the University of Dortmund in January 2002 to hold a workshop at the RWI Essen where the findings of this and similar projects were presented and discussed. The present publication collects revised versions of the papers presented at this workshop. Although the workshop took place some five years ago, these papers mark an importent juncture in the development of business cycle research. N° de réf. du vendeur 9783428124251
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Classification and Clustering in Business Cycle Analysis.
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Classification and Clustering in Business Cycle Analysis. | Ullrich Heilemann (u. a.) | Taschenbuch | 166 S. | Deutsch | 2007 | Duncker & Humblot | EAN 9783428124251 | Verantwortliche Person für die EU: Duncker & Humblot GmbH, Carl-Heinrich-Becker-Weg 9, 12165 Berlin, info[at]duncker-humblot[dot]de | Anbieter: preigu. N° de réf. du vendeur 102096108
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Classification and Clustering in Business Cycle Analysis (Schriften Des Rheinisch-Westfalischen Instituts Fur Wirtschaftsforschung) (English and German Edition)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82934281242514
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