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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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Uncertainty Quantification using R
Cursi, Eduardo Souza de - 2023
in Game Theory -- 9. Optimization under uncertainty -- 10. Reliability. … methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The … theory, as well as linear algebraic equations, and probability and statistics. Blending theoretical rigor and practical …
Persistent link: https://www.econbiz.de/10013555455
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Uncertainty Quantification with R : Bayesian Methods
Cursi, Eduardo Souza de - 2024
methods. Practical aspects of applied probability are also discussed, making the content accessible to students. The …
Persistent link: https://www.econbiz.de/10014529692
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Bias in spatial risk assessment
Mishra, Himanshu; Mishra, Arul; Moreno, Oscar - In: Management science : journal of the Institute for … 61 (2015) 4, pp. 851-863
Persistent link: https://www.econbiz.de/10010526542
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Risk Analysis of Complex and Uncertain Systems
Cox, Louis Anthony - 2009
'Tony Cox is among the most active and creative architects and users of quantitative risk analysis. This book is full of interesting equations, conceptual designs and conundrums that characterize QRA and its applications to risk management. Informed by trenchant thinking and perceptive writing,...
Persistent link: https://www.econbiz.de/10013521181