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  • Search: subject:"minimal mean squared error"
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Year of publication
Subject
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Estimation theory 2 Forecasting 2 Regression analysis 2 Regressionsanalyse 2 Schätztheorie 2 Stein-like shrinkage estimator 2 Structural break 2 Strukturbruch 2 asymptotic normality 2 minimal mean squared error 2 optimal sample fraction 2 regular variation 2 tail index 2 Minimal mean squared error estimator 1 Seemingly unrelated regression 1 Structural breaks 1 minimal mean squared error estimator 1 seemingly unrelated regression 1
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Online availability
All
Free 3
Type of publication
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Book / Working Paper 3 Article 1
Type of publication (narrower categories)
All
Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 2 Undetermined 2
Author
All
Geluk, J.L. 2 Parsaeian, Shahnaz 2 Peng, L. 1 Peng, Peng, L. 1
Institution
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Erasmus University Rotterdam, Econometric Institute 1 Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam 1
Published in...
All
Econometric Institute Report 1 Econometric Institute Research Papers 1 Macroeconomic dynamics 1 Working papers series in theoretical and applied economics 1
Source
All
ECONIS (ZBW) 2 RePEc 2
Showing 1 - 4 of 4
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Structural breaks in seemingly unrelated regression models
Parsaeian, Shahnaz - In: Macroeconomic dynamics 28 (2024) 4, pp. 946-969
Persistent link: https://www.econbiz.de/10015055126
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Structural breaks in seemingly unrelated regression models
Parsaeian, Shahnaz - 2023
Persistent link: https://www.econbiz.de/10014414231
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An adaptive optimal estimate of the tail index for MA(1) time series
Geluk, J.L.; Peng, L. - Erasmus University Rotterdam, Econometric Institute - 1999
optimal sample fraction in the sense of minimal mean squared error. …
Persistent link: https://www.econbiz.de/10008584639
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Cover Image
An adaptive optimal estimate of the tail index for MA(1) time series
Geluk, J.L.; Peng, Peng, L. - Faculteit der Economische Wetenschappen, Erasmus … - 1999
optimal sample fraction in the sense of minimal mean squared error. …
Persistent link: https://www.econbiz.de/10010837986
Saved in:
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