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A New Stochastic Dominance Degree Based on Almost Stochastic Dominance and Its Application in Decision Making [PDF]
Traditional stochastic dominance rules are so strict and qualitative conditions that generally a stochastic dominance relation between two alternatives does not exist.
Yunna Wu +4 more
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Almost first-degree stochastic dominance for transformations and its application in insurance strategy [PDF]
Feng Zhao, Jianwei Gao, Yundong Gu
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Moment Conditions for Almost Stochastic Dominance [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xu Guo +3 more
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Price limits under incomplete preference information based on almost stochastic dominance [PDF]
We derive price limits as decision aids for identifying favorable and unfavorable contracts from the perspective of a selling firm in face of uncertain outcomes.
Hermann Jahnke +2 more
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A Method Based on Bivariate Almost Stochastic Dominance for Multiple Criteria Group Decision Making With Probabilistic Dual Hesitant Fuzzy Information [PDF]
Probabilistic dual hesitant fuzzy sets (PDHFSs) are sound information granules to describe decision maker's aleatory and epistemic uncertainty in multiple criteria group decision making (MCGDM) process.
Qian Zhao, Yanbing Ju, Witold Pedrycz
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There are commonly accepted and objective decision rules, which are consistent with rationality, for example stochastic dominance rules. But, as can be seen in many research studies in behavioral economics, decision makers do not always act rationally ...
Ewa Michalska, Renata Dudzińska-Baryła
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Tests for Almost Stochastic Dominance [PDF]
We introduce a 2-dimensional stochastic dominance (2DSD) index to characterize both strict and almost stochastic dominance. Based on this index, we derive an estimator for the minimum violation ratio (MVR), also known as the critical parameter, of the almost stochastic ordering condition between two variables.
Amparo Baı́llo +2 more
+5 more sources
Almost Stochastic Dominance and Efficient Investment Sets
A major drawback of Mean-Variance and Stochastic Dominance investment criteria is that they may fail to determine dominance even in situations when all “reasonable” decision-makers would clearly prefer one alternative over another. Leshno and Levy [1] suggest Almost Stochastic Dominance (ASD) as a remedy. This paper develops algorithms for deriving the
Moshe Levy
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Generalized Almost Stochastic Dominance
Almost stochastic dominance allows small violations of stochastic dominance rules to avoid situations where most decision makers prefer one alternative to another but stochastic dominance cannot rank them. While the idea behind almost stochastic dominance is quite promising, it has not caught on in practice.
Rachel J. Huang +3 more
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Consistent Tests for Almost Stochastic Dominance
Leshno and Levy (2002) introduce the concept of the first and second order of almost stochastic dominance (ASD) for most decision makers. There are many studies investigating the properties of this concept. Many empirical applications are also conducted based on it. However, there is no formal statistical inference procedure up to now.
Xu Guo, Haim Levy, Wing‐Keung Wong
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