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Risk-Based Project Decisions in Situations of High Complexity and Deep Uncertainty
Raydugin, Yuri - 2024
and cost contingencies in complex projects -- Cost escalation and exchange-rate volatility risk assessment methods -- High …-level overview of simplistic Monte Carlo and parametric risk assessment methods -- Case study 1: applications of a tradition PRM …This book integrates for readers three areas of knowledge, pertaining to risk-based project decision making: project …
Persistent link: https://www.econbiz.de/10014546902
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Project Net Present Value estimation under uncertainty
Gaspars-Wieloch, Helena - In: Central European journal of operations research : CEJOR … 27 (2019) 1, pp. 179-197
Persistent link: https://www.econbiz.de/10011965632
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Precautionary principle and attitudinal decision making
Engemann, Kurt J.; Miller, Holmes E. - In: Fuzzy economic review : the review of the International … 22 (2017) 1, pp. 3-18
Persistent link: https://www.econbiz.de/10011894038
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Incorporating uncertainty in optimal investment decisions
Rentizelas, Athanasios; Tziralis, Georgios; … - In: World review of entrepreneurship, management and … 3 (2007) 3/4, pp. 273-283
Persistent link: https://www.econbiz.de/10003539140
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Uncertain identification
Giacomini, Raffaella; Kitagawa, Toru; Volpicella, Alessio - In: Quantitative economics : QE ; journal of the … 13 (2022) 1, pp. 95-123
Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which can lead to a mix of point‐ and set‐identified models. We propose...
Persistent link: https://www.econbiz.de/10012807735
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Uncertain identification
Giacomini, Raffaella; Kitagawa, Toru; Volpicella, Alessio - 2020 - This draft: June 2020
Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads to a mix of point- and set-identified models. We...
Persistent link: https://www.econbiz.de/10012241832
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Uncertainty quantification in vehicle content optimization for General Motors
Song, Eunhye; Wu-Smith, Peiling; Nelson, Barry L. - In: INFORMS journal on applied analytics 50 (2020) 4, pp. 225-238
Persistent link: https://www.econbiz.de/10012269819
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Uncertain identification
Giacomini, Raffaella; Kitagawa, Toru; Volpicella, Alessio - 2017 - This draft: April 2017
Uncertainty about the choice of identifying assumptions is common in causal studies, but is often ignored in empirical practice. This paper considers uncertainty over models that impose different identifying assumptions, which, in general, leads to a mix of point- and set-identified models. We...
Persistent link: https://www.econbiz.de/10011644088
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A simple GDP-based model for public investments at risk
Lapeyre, Bernard; Quinet, Emile - In: Journal of benefit-cost analysis : JBCA 8 (2017) 1, pp. 91-114
Persistent link: https://www.econbiz.de/10011664593
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Robustness of optimal portfolios under risk and stochastic dominance constraints
Dupačová, Jitka; Kopam, Milos̆ - In: European journal of operational research : EJOR 234 (2014) 2, pp. 434-441
Persistent link: https://www.econbiz.de/10010356735