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Keyfitz Entropy×Análisis de tablas de vida×
CampoDemografíaDemografía
FamiliaProcess / pipelineSurvival analysis
Año de origen19771984
Autor originalNathan KeyfitzDemographic/actuarial tradition; Chiang
TipoElasticity of life expectancy to proportional mortality change / lifespan dispersion measureAge-structured mortality estimator
Fuente seminalKeyfitz, N. (1977). Applied Mathematical Demography. John Wiley & Sons, New York. ISBN: 9780471473503Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2
AliasLife-Table Entropy, Keyfitz-Leser Entropy, Entropy of the Survival CurveMortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Relacionados43
ResumenKeyfitz's entropy, usually written H, is a dimensionless summary of a life table that measures how sensitive life expectancy is to a proportional change in mortality, and equivalently how unequal the distribution of ages at death is. Introduced by Nathan Keyfitz, it is the elasticity of life expectancy at birth with respect to the force of mortality: an H near one means deaths are spread across all ages so that reducing mortality everywhere lengthens life proportionally, while an H near zero means deaths are concentrated near the maximum lifespan so further mortality reductions yield little gain. It bridges the demography of survival and the broader study of lifespan inequality.A life table is a systematic, age-structured summary of the mortality experience of a population. It traces a hypothetical cohort of births — conventionally 100,000 — through successive age intervals, recording how many survive, how many die, and how many person-years are lived at each interval. The method was formalized in its modern probabilistic form by Chiang (1984), synthesizing centuries of actuarial and demographic practice into a rigorous statistical framework applicable to human and biological populations alike.
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ScholarGateComparar métodos: Keyfitz Entropy · Life Table. Recuperado el 2026-06-24 de https://scholargate.app/es/compare