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  • Search: subject:"Distance-based method"
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Year of publication
Subject
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distance-based method 4 Ripley’s K function 3 disaggregation 3 establishment size 3 colocalization 2 polygonal envelope 2 Betriebsgröße 1 Distance-based method 1 Firm size 1 Functional data analysis 1 Industrie 1 K-density function 1 Manufacturing industries 1 Multiple comparison procedure 1 Permutation method 1 Regional cluster 1 Regionales Cluster 1 Ripley‘s K function 1 Spain 1 Spanien 1 co-localización 1 co-localization 1 desagregación 1 función K de Ripley 1 localización espacial 1 micro-geographic data 1 método basado en la distancia 1 non-cumulative function 1 polygonal boundary 1 spatial location patterns 1 tamaño de establecimiento. spatial location 1 área poligonal 1
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Online availability
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Free 4 Undetermined 1
Type of publication
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Book / Working Paper 4 Article 1
Type of publication (narrower categories)
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Conference Paper 1 Conference paper 1 Graue Literatur 1 Konferenzbeitrag 1 Non-commercial literature 1
Language
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Undetermined 3 English 2
Author
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Orts, Vicente 2 Albert, José M. 1 Bellante, G.J. 1 Casanova, Marta 1 Casanova, Marta R. 1 Greenwood, M.C. 1 Lawrence, R.L. 1 Mateu, Jorge 1 Orts Ríos, Vicente 1 Powell, S.L. 1 R. Casanova, Marta 1 Repasky, K.S. 1 Roig-Casanova, Marta 1 Ríos, Vicente Orts 1 Vsevolozhskaya, O.A. 1
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Institution
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Departament d'Economia, Universitat Jaume I 1 Instituto Valenciano de Investigaciones Económicas (IVIE) 1
Published in...
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50th Congress of the European Regional Science Association: "Sustainable Regional Growth and Development in the Creative Knowledge Economy", 19-23 August 2010, Jönköping, Sweden 1 Computational Statistics & Data Analysis 1 Working Papers / Departament d'Economia, Universitat Jaume I 1 Working Papers. Serie EC 1
Source
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RePEc 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
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Distance-Based Methods: An improvement of Ripley’s K function vs. the K density function
Albert, José M.; R. Casanova, Marta; Mateu, Jorge; … - Departament d'Economia, Universitat Jaume I - 2013
In this paper, we propose a non-cumulative function for evaluating the spatial concentration of economic activity. This function, which we have called the M marginal function, comes from the tradition of spatial statistics but, at the same time, incorporates some key features from the economic...
Persistent link: https://www.econbiz.de/10010773010
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Assessing the tendency of Spanish manufacturing industries to cluster: Co-localization and establishment size
Casanova, Marta; Ríos, Vicente Orts - Instituto Valenciano de Investigaciones Económicas (IVIE) - 2011
In this paper, we use a distance-based method, specifically the Ripley’s K function, to evaluate the spatial location …
Persistent link: https://www.econbiz.de/10009147132
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Assessing the Tendency of Spanish Manufacturing Industries to Cluster: Co-localization and Establishment Size
Casanova, Marta R.; Orts, Vicente - 2010
tendencies to cluster in each industry relative to the whole of manufacturing. To do this, we use a distance-based method (Marcon …
Persistent link: https://www.econbiz.de/10011332659
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Assessing the tendency of Spanish manufacturing industries to cluster : co-localization and establishment size
Roig-Casanova, Marta; Orts Ríos, Vicente - 2010 - Preliminary version
tendencies to cluster in each industry relative to the whole of manufacturing. To do this, we use a distance-based method (Marcon …
Persistent link: https://www.econbiz.de/10011572914
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Cover Image
Combining functions and the closure principle for performing follow-up tests in functional analysis of variance
Vsevolozhskaya, O.A.; Greenwood, M.C.; Bellante, G.J.; … - In: Computational Statistics & Data Analysis 67 (2013) C, pp. 175-184
Functional analysis of variance involves testing for differences in functional means across k groups in n functional responses. If a significant overall difference in the mean curves is detected, one may want to identify the location of these differences. Cox and Lee (2008) proposed performing a...
Persistent link: https://www.econbiz.de/10010871314
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