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  • Search: subject:"Hierarchical parameter estimation"
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Year of publication
Subject
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Prospect theory 2 Decision making under risk 1 Decision under risk 1 Entscheidung unter Risiko 1 Estimation theory 1 Experiment 1 Hierarchical parameter estimation 1 Maximum likelihood 1 Measurement 1 Messung 1 Prospect Theory 1 Risiko 1 Risikoaversion 1 Risikopräferenz 1 Risk 1 Risk attitude 1 Risk aversion 1 Risk preference 1 Schätztheorie 1 cumulative prospect theory 1 decision making under risk 1 hierarchical parameter estimation 1 individual differences 1 measuring risk preferences 1 reliability 1 risk profile 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 1 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Murphy, Ryan O. 2 Brincke, Robert H. W. ten 1 Brincke, Robert H.W. ten 1
Institution
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Department of Management, Technology and Economics (D-MTEC), Eidgenössische Technische Hochschule Zürich (ETHZ) 1
Published in...
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Management science : journal of the Institute for Operations Research and the Management Sciences 1 Working Papers / Department of Management, Technology and Economics (D-MTEC), Eidgenössische Technische Hochschule Zürich (ETHZ) 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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Hierarchical maximum likelihood parameter estimation for cumulative prospect theory : improving the reliability of individual risk parameter estimates
Murphy, Ryan O.; Brincke, Robert H. W. ten - In: Management science : journal of the Institute for … 64 (2018) 1, pp. 308-326
Persistent link: https://www.econbiz.de/10011819575
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Cover Image
Hierarchical maximum likelihood parameter estimation for cumulative prospect theory: Improving the reliability of individual risk parameter estimates
Murphy, Ryan O.; Brincke, Robert H.W. ten - Department of Management, Technology and Economics …
Individual risk preferences can be identified by using decision models with tuned parameters that maximally fit a set of risky choices made by a decision maker. A goal of this model fitting procedure is to isolate parameters that correspond to stable risk preferences. These preferences can be...
Persistent link: https://www.econbiz.de/10010761499
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