Explaining Young Mortality

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2011 United Kingdom English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068,

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Authors: O’Hare, Colin; Li, Youwei; O'Hare, Colin;

doi: 10.2139/ssrn.1703446 , 10.1016/j.insmatheco.2011.09.005

Explaining Young Mortality

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Abstract

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Country

United Kingdom

Related Organizations

Queen's University
Canada
Queen's University Belfast
United Kingdom
Monash University
Australia
University of Hull
United Kingdom

Keywords

/dk/atira/pure/subjectarea/asjc/2000/2002, name=Statistics, 330, /dk/atira/pure/subjectarea/asjc/1800/1804, forecasting, Non-linearity, mortality, non-linearity, name=SDG 3 - Good Health and Well-being, Mathematical geography and demography, Stochastic models, Risk theory, insurance, name=Economics and Econometrics, /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being, Probability and Uncertainty, /dk/atira/pure/subjectarea/asjc/2600/2613, Mortality, stochastic models, Forecasting, name=Statistics and Probability

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	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%