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  • Search: subject:"winsorizing"
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Year of publication
Subject
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Winsorizing 5 Student's t 3 Theorie 3 Trimming 3 EGARCH 2 EGB2 2 Fat tails 2 Robustness 2 Score 2 Theory 2 Time series analysis 2 Zeitreihenanalyse 2 fat tails 2 robustness 2 score 2 winsorizing 2 : beta distribution 1 Beta distribution 1 Bias 1 Biased Treatment Effect 1 Classification 1 Cluster analysis 1 Clusteranalyse 1 Data Mining 1 Data mining 1 Forecasting model 1 Hauptkomponentenanalyse 1 Klassifikation 1 Modell-Spezifikation 1 Neural networks 1 Neuronale Netze 1 Outlier detection 1 Principal component analysis 1 Prognoseverfahren 1 Radial basis function neural networks 1 Robust statistics 1 Robustes Verfahren 1 Saisonale Schwankungen 1 Saisonkomponente 1 Seasonal component 1
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Online availability
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Free 7 CC license 1
Type of publication
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Book / Working Paper 4 Article 3
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 2 Arbeitspapier 1 Article 1 Graue Literatur 1 Non-commercial literature 1
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Language
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English 5 Undetermined 2
Author
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Caivano, Michele 3 Harvey, Andrew 2 Luati, Alessandra 2 Behera, Ajit Kumar 1 Bollinger, Christopher R. 1 Caivano, M. 1 Chandra, Amitabh 1 Dash, Ch. Sanjeev Kumar 1 Dehuri, Satchidananda 1 Ghosh, Ashish 1 Harvey, A. 1 Harvey, Andrew C. 1 Wicker, Till 1
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Institution
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Banca d'Italia 1 Faculty of Economics, University of Cambridge 1
Published in...
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Cambridge Working Papers in Economics 1 Decision analytics journal 1 Discussion paper / Center for Economic Research, Tilburg University 1 IZA Discussion Papers 1 SERIEs - Journal of the Spanish Economic Association 1 SERIEs : Journal of the Spanish Economic Association 1 Temi di discussione (Economic working papers) 1
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Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 2
Showing 1 - 7 of 7
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Winsorizing and trimming with subgroups
Wicker, Till - 2025
Persistent link: https://www.econbiz.de/10015406580
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An outliers detection and elimination framework in classification task of data mining
Dash, Ch. Sanjeev Kumar; Behera, Ajit Kumar; Dehuri, … - In: Decision analytics journal 6 (2023), pp. 1-8
statistical approach termed Inter-Quartile Range (IQR) is used to detect outliers in data and deal with them by Winsorizing method …
Persistent link: https://www.econbiz.de/10014505859
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Robust time series models with trend and seasonal components
Caivano, Michele; Harvey, Andrew; Luati, Alessandra - In: SERIEs - Journal of the Spanish Economic Association 7 (2016) 1, pp. 99-120
form of Winsorizing in the case of EGB2. We show how a model with trend and seasonal components can be used as the basis …
Persistent link: https://www.econbiz.de/10011650315
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Robust time series models with trend and seasonal components
Caivano, Michele; Harvey, Andrew C.; Luati, Alessandra - In: SERIEs : Journal of the Spanish Economic Association 7 (2016) 1, pp. 99-120
form of Winsorizing in the case of EGB2. We show how a model with trend and seasonal components can be used as the basis …
Persistent link: https://www.econbiz.de/10011458780
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Time series models with an EGB2 conditional distribution
Caivano, Michele; Harvey, Andrew - Banca d'Italia - 2014
A time series model in which the signal is buried in non-Gaussian noise may throw up observations that are outliers when judged by the Gaussian yardstick. We describe an observation-driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which the signal...
Persistent link: https://www.econbiz.de/10011099629
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Time series models with an EGB2 conditional distribution
Caivano, M.; Harvey, A. - Faculty of Economics, University of Cambridge - 2013
A time series model in which the signal is buried in noise that is non-Gaussian may throw up observations that, when judged by the Gaussian yardstick, are outliers. We describe an observation driven model, based on an exponential generalized beta distribution of the second kind (EGB2), in which...
Persistent link: https://www.econbiz.de/10010700221
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Iatrogenic Specification Error : A Cautionary Tale of Cleaning Data
Bollinger, Christopher R.; Chandra, Amitabh - 2004
often the justification for removing (trimming) or recoding (winsorizing) observations whose values lie outside a specified … winsorizing and trimming are only solutions for a narrow class of measurement error processes. Indeed, for the measurement error … results from the Census PUMS data and 2001 CPS data demonstrate the fragility of trimming and winsorizing as solutions to …
Persistent link: https://www.econbiz.de/10010261852
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