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100 pages. 8.90x5.90x0.40 inches. In Stock. Bestandsnummer des Verkäufers 3836462893
This work deals with the adequate handling of spatial data in general, and in particular in the framework of economic sciences. An overview of well known methods from the field of spatial statistics and spatial econometrics is given. Furthermore a special class of spatial objects is described, namely objects that are that far apart from all other observations in the dataset, that they are not connected to them anymore. Different treatments of such objects are suggested and their influence on the Moran's I test for spatial autocorrelation is analysed. After this theoretical part some adequate spatial methods are applied to the well-known problem of R&D spillovers. Here the spatial contiguity matrix is based on an economic distance measure instead of the commonly used geographic distances. In the last part, optimal design theory and spatial analysis are combined via a new criterion, which was developed to be able to take a potential spatial dependency of the data points into account. The target audience for this book are statistics students and scientific researchers who are familiar with the standard tools for regression modelling, optimal design theory and statistical inference.
Reseña del editor: This work deals with the adequate handling of spatial data in general, and in particular in the framework of economic sciences. An overview of well known methods from the field of spatial statistics and spatial econometrics is given. Furthermore a special class of spatial objects is described, namely objects that are that far apart from all other observations in the dataset, that they are not connected to them anymore. Different treatments of such objects are suggested and their influence on the Moran's I test for spatial autocorrelation is analysed. After this theoretical part some adequate spatial methods are applied to the well-known problem of R&D spillovers. Here the spatial contiguity matrix is based on an economic distance measure instead of the commonly used geographic distances. In the last part, optimal design theory and spatial analysis are combined via a new criterion, which was developed to be able to take a potential spatial dependency of the data points into account. The target audience for this book are statistics students and scientific researchers who are familiar with the standard tools for regression modelling, optimal design theory and statistical inference.
Titel: Spatial Methods in Econometrics
Verlag: Vdm Verlag Dr Mueller E K
Erscheinungsdatum: 2008
Einband: Paperback
Zustand: Brand New
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Bestandsnummer des Verkäufers 4334504/1
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Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gumprecht DanielaDaniela Gumprecht, Dr.rer.soc.oec.: Studies of Statistics at the University of Vienna and the Vienna University of Economics and Business Administration.This work deals with the adequate handling of spatial data . Bestandsnummer des Verkäufers 5387211
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Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Spatial Methods in Econometrics | Daniela Gumprecht | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836462891 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 101838469
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 100 pages. 8.90x5.90x0.40 inches. In Stock. Bestandsnummer des Verkäufers __3836462893
Anzahl: 1 verfügbar