3 resultados para Pareto Dominance

em Digital Commons at Florida International University


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Identity shapes how people make sense of the world. Sexual minorities’ sexual orientations and gender identities fall outside of heteronormative categorizations. Adults engage in diverse relationships: many of them fall outside of heteronormative boundaries. As an instrument of social justice, Adult Education can be a site for BDSM identity development.

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This article compares two recent analyses of continuity and change in the American power structure since 1900, with a main focus on the years after World War II. The first analysis asserts that the “corporate elite” has fractured and fragmented in recent decades and no longer has the unity to have a collective impact on public policy. The second analysis claims that corporate leaders remain united, albeit with moderate-conservative and ultra-conservative differences on several issues, and continue to have a dominant collective impact on public policies that involve their major goals. After comparing the two perspectives on key issues from 1900 to 1945, the article analyzes the fractured-elite theory’s three claims about the postwar era: an activist government constrained the corporate elite, the union movement negotiated a capital-labor accord; and bank boards created policy cohesion among corporations. Finally, it compares the two perspectives on tax issues, health-care policies, and trade expansion between 1990 and 2010.

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Tropical Cyclones are a continuing threat to life and property. Willoughby (2012) found that a Pareto (power-law) cumulative distribution fitted to the most damaging 10% of US hurricane seasons fit their impacts well. Here, we find that damage follows a Pareto distribution because the assets at hazard follow a Zipf distribution, which can be thought of as a Pareto distribution with exponent 1. The Z-CAT model is an idealized hurricane catastrophe model that represents a coastline where populated places with Zipf- distributed assets are randomly scattered and damaged by virtual hurricanes with sizes and intensities generated through a Monte-Carlo process. Results produce realistic Pareto exponents. The ability of the Z-CAT model to simulate different climate scenarios allowed testing of sensitivities to Maximum Potential Intensity, landfall rates and building structure vulnerability. The Z-CAT model results demonstrate that a statistical significant difference in damage is found when only changes in the parameters create a doubling of damage.