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  • Search: subject:"spatial prediction"
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Year of publication
Subject
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Geostatistics 3 Robust Methods 3 Spatial Prediction 3 Trend Estimation 3 Forecasting model 2 Prognoseverfahren 2 Spatial prediction 2 Approximation theory 1 Continuous approximation 1 Crime 1 Decision support systems 1 Estimation 1 Estimation theory 1 Geographically Weighted Regression (GWR) 1 Gradient boosting 1 Kriminalität 1 Learning 1 Learning process 1 Lernen 1 Lernprozess 1 Logistics systems 1 Poland 1 Polen 1 Regional economics 1 Regionalökonomik 1 Reliability (Engineering) Mathematical models 1 Robust statistics 1 Robustes Verfahren 1 Räumliche Interaktion 1 Räumliche Verteilung 1 Schätztheorie 1 Schätzung 1 Spanish provinces 1 Spatial analysis (Statistics) 1 Spatial distribution 1 Spatial interaction 1 Spatial process 1 Theorie 1 Theory 1 Time series analysis 1
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Online availability
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Free 6
Type of publication
All
Book / Working Paper 5 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Thesis 1
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Language
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English 4 Undetermined 2
Author
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Berke, Olaf 3 Chasco, Coro 1 García, Isabel 1 Kajita, Mami 1 Kajita, Seiji 1 Murakami, Daisuke 1 Vicéns, José 1 Wang, Ni 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Journal of geographical systems : geographical information, analysis, theory, and decision 1 MPRA Paper 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1
Source
All
ECONIS (ZBW) 2 RePEc 2 BASE 1 EconStor 1
Showing 1 - 6 of 6
Cover Image
Spatial process-based transfer learning for prediction problems
Murakami, Daisuke; Kajita, Mami; Kajita, Seiji - In: Journal of geographical systems : geographical … 27 (2025) 1, pp. 147-166
Persistent link: https://www.econbiz.de/10015332251
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Modeling spatial variations in household disposable income with Geographically Weighted Regression
Chasco, Coro; García, Isabel; Vicéns, José - Volkswirtschaftliche Fakultät, … - 2007
application of GWR can also be of help to further exercises of micro-data spatial prediction. …
Persistent link: https://www.econbiz.de/10005619796
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Statistical Learning in Logistics and Manufacturing Systems
Wang, Ni - 2006
This thesis focuses on the developing of statistical methodology in reliability and quality engineering, and to assist the decision-makings at enterprise level, process level, and product level.In Chapter II, we propose a multi-level statistical modeling strategy to characterize data from...
Persistent link: https://www.econbiz.de/10009476034
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Modified median polish kriging and its application to the Wolfcamp-Aquifer data
Berke, Olaf - 2000
unobserved sites within the corresponding sampling domain. The method of universal kriging for spatial prediction was introduced … for spatial prediction is median polish kriging. Both methods have certain advantages but also some drawbacks. Here …, universal kriging and median polish kriging will be combined to the robust spatial prediction method called modified median …
Persistent link: https://www.econbiz.de/10010316664
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Cover Image
Modified median polish kriging and its application to the Wolfcamp-Aquifer data
Berke, Olaf - Institut für Wirtschafts- und Sozialstatistik, … - 2000
unobserved sites within the corresponding sampling domain. The method of universal kriging for spatial prediction was introduced … for spatial prediction is median polish kriging. Both methods have certain advantages but also some drawbacks. Here …, universal kriging and median polish kriging will be combined to the robust spatial prediction method called modified median …
Persistent link: https://www.econbiz.de/10010955526
Saved in:
Cover Image
Modified median polish kriging and its application to the Wolfcamp-Aquifer data
Berke, Olaf - 2000
unobserved sites within the corresponding sampling domain. The method of universal kriging for spatial prediction was introduced … for spatial prediction is median polish kriging. Both methods have certain advantages but also some drawbacks. Here …, universal kriging and median polish kriging will be combined to the robust spatial prediction method called modified median …
Persistent link: https://www.econbiz.de/10009781511
Saved in:
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