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Approximating the distribution function of risk
Computational Statistics & Data Analysis, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Costas A. Christophi, Reza Modarres
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Risk Factors in Distributed Projects
Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06), 2006In this manuscript we develop a conceptual understanding of how key risk factors associated with Information Technology development projects are magnified or multiplied when dealing with distributed project teams as might be seen in global corporations or with the use of outsourced development resources. The analysis goes beyond the typical cultural or
James M. Erickson, J. Roberto Evaristo
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Geographical Distribution of Radiation Risks in the Netherlands
Health Physics, 1998Risk assessment of exposure to sources of radiation is an important tool for national governments in regulating radionuclide emissions and thus reducing radiation doses for the general public. For this reason radiation doses from sources throughout The Netherlands have been analyzed.
Janssen, MPM +2 more
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Journal of Economic Psychology, 1988
Abstract Risk and income distribution have been linked together in theory but rarely empirically due to the absence of adequate risk-profile data. We employ for the first time psychologically-based risk data to examine this important relationship.
John J. Sciortino +2 more
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Abstract Risk and income distribution have been linked together in theory but rarely empirically due to the absence of adequate risk-profile data. We employ for the first time psychologically-based risk data to examine this important relationship.
John J. Sciortino +2 more
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On matrix-exponential distributions in risk theory [PDF]
, 2008 In this paper, a particular class of matrix-exponential distributions is described, also with respect to its use in risk theory, namely phase-type distributions. Phase-type distributions have the important advantage of being suitable for approximating most of other distributions as well as being mathematically tractable.
Alessandra, Carleo +1 more
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Risk and distributional inequality.
Journal of Experimental Psychology: Human Perception and Performance, 1984Abstract : A distributional model of risk is described in which it is hypothesized that people's judgments of risk are similar to the kinds of judgments made in welfare economics concerning inequality of income distributions. The role played by the Lorenz curve in analyzing inequality is described and it is shown how Lorenz curves can be used to ...
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Adiposity, Fat Distribution, and Cardiovascular Risk
Annals of Internal Medicine, 1989To determine the relative importance of adiposity and fat distribution to cardiovascular risk profile.A cross-sectional study.Clinical research center funded by the National Institutes of Health.Convenience sample of 33 healthy premenopausal women with a wide range of body weight who did not have diabetes mellitus, hirsutism and virilism, gynecologic ...
A N, Peiris +6 more
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Distributing Risks and Responsibilities
Social Studies of Science, 2007Coordinated responses to flooding in the New Orleans area date back to at least the early 18 century when the Company of the Indies built a mile long bulwark on a natural levee. Since that early project, corporations, NGOs, and local, state, and federal governments have taken numerous steps to limit the risk of flooding including building extensive ...
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Of Risk Taking and the Personal Distribution of Income
Journal of Political Economy, 1979This paper revisits the analysis of risk taking and income distribution pioneered by Friedman, but in an extended--general equilibrium--framework. The results of this paper cast doubt on the generality of many of Friedman's strong propositions. In particular, we find that the relationship between inequality and liking for risk is not necessarily ...
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Beyond Risk: A Measure of Distribution Uncertainty
Information Systems ResearchThis paper addresses the critical yet often overlooked concept of distribution uncertainty (ambiguity) in decision making, emphasizing its importance alongside traditional outcome uncertainty (risk). It introduces a novel quantitative measure of ambiguity that accurately captures distribution uncertainty.
Tao Lu +3 more
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