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  • Search: subject:"oversampling"
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Year of publication
Subject
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Panel 11 oversampling 11 Vermögensverteilung 8 Vermögen 7 Wealth 7 top wealth 7 Imputation 6 Oversampling of the rich 6 Refreshment sample 6 Sampling 6 Stichprobenerhebung 6 Wealth survey 6 imputation 6 oversampling of the rich 6 panel 6 refreshment sample 6 wealth survey 6 Data collection 5 Distribución de las rentas y riquezas personales 5 Household 5 Oversampling 5 Panel study 5 Privater Haushalt 5 SOEP 5 Wealth distribution 5 asset portfolio 5 wealth 5 Encuesta de riqueza 4 Haushaltsstatistik 4 Household survey 4 Imputación 4 Muestra de refresco 4 SMOTE 4 Teoría de muestras. Recolección de datos. Encuestas. Experimentos 4 Theorie 4 Theory 4 Hochvermögende 3 Over-Sampling 3 Pesos 3 Recogida de datos 3
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Online availability
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Free 35 CC license 2
Type of publication
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Book / Working Paper 19 Article 10 Other 6
Type of publication (narrower categories)
All
Graue Literatur 11 Non-commercial literature 11 Working Paper 10 Arbeitspapier 8 Article in journal 7 Aufsatz in Zeitschrift 7 Article 3
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Language
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English 27 German 6 Undetermined 2
Author
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Bartels, Charlotte 10 Grabka, Markus M. 10 Göbler, Konstantin 10 König, Johannes 10 Schröder, Carsten 10 Bover, Olympia 6 Siegers, Rainer 5 Zinn, Sabine 5 Bover Hidiroglu, Olympia 4 Crespo, Laura 3 Gento, Carlos 3 Barceló, Cristina 2 Ceritoǧlu, Evren 2 Coronado, Enrique 2 Crespo Azofra, Laura 2 García-Uribe, Sandra 2 Gento de Celis, Carlos 2 Gómez García, Marina 2 Haque, Naheena 2 Jishan, Syed 2 Moreno, Ismael 2 Rahman, Rashedur M. 2 Rashu, Raisul 2 Velilla, Pilar 2 Alvargonzález Muñoz, María del Pilar 1 Andono, Pulung Nurtantio 1 Asensio, Marina 1 BUREZ, J. 1 Barceló Varona, Cristina 1 Betti, Gianni 1 Cobreros, Lucía 1 Coronado Parras, Enrique 1 Disslbacher, Franziska 1 Djafar, Nur Mutmainnah 1 El Amrani, Najiba 1 Ertl, Michael 1 Fauzan, Achmad 1 García Uribe, Sandra 1 Gómez, Marina 1 Hasibuan, Zainal Arifin 1
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Institution
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Banco de España 3 Department of Economics, Leicester University 1 Faculteit Economie en Bedrijfskunde, Universiteit Gent 1 Zakład Ekonometrii Stosowanej, Szkoła Główna Handlowa w Warszawie 1
Published in...
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Banco de España Occasional Papers 3 Documentos ocasionales / Banco de España 3 SOEP papers on multidisciplinary panel data research / German Socio-Economic Panel Study (SOEP), DIW Berlin 3 DIW-Wochenbericht : Wirtschaft, Politik, Wissenschaft 2 Decision Analytics 2 SOEPpapers on Multidisciplinary Panel Data Research 2 Working paper / Türkiye Cumhuriyet Merkez Bankası 2 DIW Weekly Report 1 DIW Wochenbericht 1 DIW weekly report : economy, politics, science : a policy bulletin from the German Institute for Economic Research 1 Discussion Papers in Economics 1 Ekonomický časopis : časopis pre ekonomickú teóriu, hospodársku politiku, spoločensko-ekonomické prognózovanie 1 FEDS Working Paper 1 Finance and economics discussion series 1 INEQ working paper series 1 Journal of open innovation : technology, market, and complexity 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Working Papers / Zakład Ekonometrii Stosowanej, Szkoła Główna Handlowa w Warszawie 1 Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 1 Working paper 1
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Source
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ECONIS (ZBW) 18 BASE 6 RePEc 6 EconStor 5
Showing 1 - 10 of 35
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Implementation of K-Nearest Neighbor using the oversampling technique on mixed data for the classification of household welfare status
Djafar, Nur Mutmainnah; Fauzan, Achmad - In: Statistics in transition : an international journal of … 25 (2024) 1, pp. 109-124
-poor classes, an oversampling technique was employed. Imbalanced data affect classification, particularly when predicting the … results of the classification. The following oversampling techniques were employed in this study: Random Oversampling (RO …), the Adaptive Synthetic (ADASYN) and the Synthetic Minority Oversampling Technique (SMOTE). It was found that, of the three …
Persistent link: https://www.econbiz.de/10015125414
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Indonesian disaster named entity recognition from multi source information using bidirectional LSTM (BiLSTM)
Shidik, Guruh Fajar; Saputra, Filmada Ocky; Saraswati, … - In: Journal of open innovation : technology, market, and … 10 (2024) 3, pp. 1-12
problem, random oversampling was applied. This study also utilized the BiLSTM model to recognize each entity in new textual … by NER. Oversampling ensured that the proposed NER model could precisely recognize all entities and reduce biased results …
Persistent link: https://www.econbiz.de/10015072100
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Central Bank of the Republic of Turkey household finance and consumption survey methodology
Betti, Gianni; Ceritoǧlu, Evren; Küçükbayrak, Müşerref - 2022
Persistent link: https://www.econbiz.de/10013173040
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Verbesserung der Forschungsdateninfrastruktur im Bereich Hochvermögender mit dem Sozio-oekonomischen Panel (SOEP)
Schröder, Carsten; Bartels, Charlotte; Göbler, Konstantin - 2020
Im fünften Armuts- und Reichtumsbericht der Bundesregierung wurde darauf hingewiesen, dass die Datenlage im Bereich hoher Vermögen unzureichend sei (BMAS, 2017). Zur Verbesserung der Datenlage haben wir eine neue Sampling-Strategie entwickelt und im Feld implementiert. In der gezogenen...
Persistent link: https://www.econbiz.de/10012254872
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Millionaires under the microscope: Data gap on top wealth holders closed; wealth concentration higher than presumed
Schröder, Carsten; Bartels, Charlotte; Göbler, Konstantin - In: DIW Weekly Report 10 (2020) 30/31, pp. 313-322
Individuals with assets in the millions of euros have been underrepresented in population surveys and accordingly little has been known about them. As a result, the full extent of wealth concentration in Germany was unknown. To close the existing data gap, the Socio-Economic Panel (SOEP) inte-...
Persistent link: https://www.econbiz.de/10012291446
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MillionärInnen unter dem Mikroskop: Datenlücke bei sehr hohen Vermögen geschlossen - Konzentration höher als bisher ausgewiesen
Schröder, Carsten; Bartels, Charlotte; Göbler, Konstantin - In: DIW Wochenbericht 87 (2020) 29, pp. 511-521
Personen mit Vermögen in Millionenhöhe waren bislang in Bevölkerungsbefragungen kaum vertreten - entsprechend wenig wusste man über sie. Auch blieb das exakte Ausmaß der Vermögenskonzentration unklar. Das Sozio-oekonomische Panel (SOEP) hat nun eine Spezialstichprobe integriert, in der...
Persistent link: https://www.econbiz.de/10012424472
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Improving the coverage of the top-wealth population in the Socio-Economic Panel (SOEP)
Schröder, Carsten; Bartels, Charlotte; Göbler, Konstantin - 2020
We have developed and implemented a new sampling strategy to better represent very wealthy individuals in the German Socio-Economic Panel (SOEP). Our strategy is based on the empirical regularity that the very wealthy have at least part of their assets invested in businesses, and that businesses...
Persistent link: https://www.econbiz.de/10012427324
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The Spanish Survey of Household Finances (EFF): description and methods of the 2017 wave
Barceló Varona, Cristina; Crespo Azofra, Laura; … - 2020
computation of weights and the imputation procedures. Important characteristics also present in this wave are the oversampling of …
Persistent link: https://www.econbiz.de/10012525450
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Identification of wealthy households from the residential property price index database for sample selection for household surveys
Ceritoǧlu, Evren; Sevİnç, Özlem - 2020
Persistent link: https://www.econbiz.de/10013040966
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The Spanish survey of household finances (eff) : description and methods of the 2017 wave
Barceló, Cristina; Crespo, Laura; García-Uribe, Sandra; … - 2020
Persistent link: https://www.econbiz.de/10012704571
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