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  • Search: subject:"Selective editing"
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Year of publication
Subject
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selective editing 3 calibration estimator 2 measurement bias estimation 2 nonsampling errors 2 probabilistic editing 2 Aprendizaje automático 1 Artificial intelligence 1 Bias 1 Data collection 1 Datenerhebung 1 Datos de encuestas 1 Edición selectiva 1 Estimation 1 Estimation theory 1 Forecasting model 1 Inteligencia artificial 1 Künstliche Intelligenz 1 Machine learning 1 Measurement 1 Messung 1 Modelos de predicción 1 Predictive models 1 Probability theory 1 Prognoseverfahren 1 Programas informáticos de econometría y estadística 1 Sampling 1 Schätztheorie 1 Schätzung 1 Selective editing 1 Statistical error 1 Statistical method 1 Statistische Methode 1 Statistischer Fehler 1 Stichprobenerhebung 1 Survey data 1 Systematischer Fehler 1 Teoría de muestras. Recolección de datos. Encuestas. Experimentos 1 Wahrscheinlichkeitsrechnung 1 machine learning 1 predictive models 1
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Online availability
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Free 4
Type of publication
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Book / Working Paper 3 Other 1
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 4
Author
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Forteza, Nicolás 2 Ilves, Maiki 2 García Uribe, Sandra 1 García-Uribe, Sandra 1
Published in...
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Documentos de trabajo / Banco de España 1 Working Paper 1 Working paper 1
Source
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ECONIS (ZBW) 2 BASE 1 EconStor 1
Showing 1 - 4 of 4
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Estimation with probability edited survey data under nonresponse
Ilves, Maiki - 2025
. To reduce the editing effort and avoid over-editing, in current practice selective editing is most often used, which is a … biggest impact on estimates to be produced. However, selective editing is not grounded in probability theory associated with … introduced by selective editing. In the spirit of the total survey error paradigm, this paper extends the previous work on …
Persistent link: https://www.econbiz.de/10015361354
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Cover Image
Estimation with probability edited survey data under nonresponse
Ilves, Maiki - 2025
. To reduce the editing effort and avoid over-editing, in current practice selective editing is most often used, which is a … biggest impact on estimates to be produced. However, selective editing is not grounded in probability theory associated with … introduced by selective editing. In the spirit of the total survey error paradigm, this paper extends the previous work on …
Persistent link: https://www.econbiz.de/10015207175
Saved in:
Cover Image
A score function to prioritize editing in household survey data : a machine learning approach
Forteza, Nicolás; García-Uribe, Sandra - 2023
Persistent link: https://www.econbiz.de/10014419467
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Cover Image
A score function to prioritize editing in household survey data: a machine learning approach
Forteza, Nicolás; García Uribe, Sandra
Los errores en la recopilación de datos de las encuestas financieras de los hogares podrían propagarse y afectar a las estimaciones poblacionales, sobre todo cuando existe un sobremuestreo de algunos grupos de población. Hasta ahora se han realizado revisiones manuales de cada entrevista para...
Persistent link: https://www.econbiz.de/10014413128
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