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  • Search: subject:"Truncated maximum likelihood"
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Year of publication
Subject
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anthropometrics 3 bias-precision trade-off 3 simulation methods 3 truncated least squares 3 truncated maximum likelihood (TML) 3 Goodness of fit test 2 Hill estimator 2 kernel 2 tail analysis 2 truncated maximum likelihood 2 Corporate farms 1 Czech Republic 1 DEA 1 Double bootstrap 1 Estimation theory 1 Individual farms 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Sampling 1 Schätztheorie 1 Simulation 1 Stichprobenerhebung 1 Truncated maximum likelihood 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Book / Working Paper 5 Article 1
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 4 Undetermined 2
Author
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A'Hearn, Brian 3 Komlos, John 3 Gourieroux, Christian 2 Jasiaky, Joanna 2 Balcombe, Kelvin 1 Davidova, Sophia 1 Latruffe, Laure 1
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Institution
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Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Discussion Papers in Economics 1 Journal of Productivity Analysis 1 Munich Discussion Paper 1 Münchener Wirtschaftswissenschaftliche Beiträge : VWL ; discussion papers 1 SFB 373 Discussion Paper 1 SFB 373 Discussion Papers 1
Source
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RePEc 3 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ. A Simulation Based Study with Application to Historical Height Samples
A'Hearn, Brian; Komlos, John - 2003
truncated maximum likelihood (TML). The first suffers from bias. The second suffers in practical application from excessive …
Persistent link: https://www.econbiz.de/10010427385
Saved in:
Cover Image
Improvements in Maximum Likelihood Estimators of Truncated Normal Samples with Prior Knowledge of σ
A'Hearn, Brian; Komlos, John - Volkswirtschaftliche Fakultät, … - 2003
truncated maximum likelihood (TML). The first suffers from bias. The second suffers in practical application from excessive …
Persistent link: https://www.econbiz.de/10005649781
Saved in:
Cover Image
Improvements in maximum likelihood estimators of truncated normal samples with prior knowledge of σ : a simulation based study with application to historical height samples
A'Hearn, Brian; Komlos, John - 2003
truncated maximum likelihood (TML). The first suffers from bias. The second suffers in practical application from excessive …
Persistent link: https://www.econbiz.de/10010440937
Saved in:
Cover Image
Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe
Latruffe, Laure; Davidova, Sophia; Balcombe, Kelvin - In: Journal of Productivity Analysis 29 (2008) 2, pp. 183-191
Persistent link: https://www.econbiz.de/10005678718
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Truncated maximum likelihood, goodness of fit tests and tail analysis
Gourieroux, Christian; Jasiaky, Joanna - 1998
We propose a new method of tail analysis for data featuring a high degree of leptokurtosis. Heavy tails can typically be found in financial series, like for example, the stock returns or durations between arrivals of trades. In our framework, the shape of tails can be assessed by fitting some...
Persistent link: https://www.econbiz.de/10010309874
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Cover Image
Truncated maximum likelihood, goodness of fit tests and tail analysis
Gourieroux, Christian; Jasiaky, Joanna - Sonderforschungsbereich 373, Quantifikation und … - 1998
We propose a new method of tail analysis for data featuring a high degree of leptokurtosis. Heavy tails can typically be found in financial series, like for example, the stock returns or durations between arrivals of trades. In our framework, the shape of tails can be assessed by fitting some...
Persistent link: https://www.econbiz.de/10010956592
Saved in:
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