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Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Brass Relational Logit Model× | Gompertz-Makeham Law of Mortality× | |
|---|---|---|
| Campo | Demografía | Demografía |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1971 | 1860 |
| Autor original≠ | William Brass | Benjamin Gompertz & William Makeham |
| Tipo≠ | Two-parameter relational mortality model | Parametric mortality (hazard) law for adult ages |
| Fuente seminal≠ | Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological Aspects of Demography. Taylor & Francis / Barnes & Noble. ISBN: 9780850660425 | Gompertz, B. (1825). On the nature of the function expressive of the law of human mortality. Philosophical Transactions of the Royal Society of London, 115, 513–583. DOI ↗ |
| Alias | Brass Logit System, Brass Logit Life-Table Model, Two-Parameter Logit Mortality Model, Brass İlişkisel Logit Modeli | Gompertz-Makeham Model, Makeham's Law, Gompertz Law of Mortality, Gompertz-Makeham Ölümlülük Yasası |
| Relacionados | 4 | 4 |
| Resumen≠ | The Brass relational logit model is a two-parameter system for representing and smoothing a life table by relating it to a chosen standard. Introduced by William Brass in 1971, it transforms the survivorship function with a logit and posits that the logits of any two life tables are linearly related, so that an entire age pattern of mortality can be summarized by just two parameters — a level parameter and a parameter governing the balance of childhood versus adult mortality. | The Gompertz-Makeham law is the foundational parametric model of adult human mortality. Benjamin Gompertz showed in 1825 that the force of mortality rises exponentially with age, and William Makeham added an age-independent background term in 1860 to account for deaths from causes unrelated to ageing. The combined law expresses the hazard of death as a constant plus an exponentially increasing component, capturing the dominant shape of adult mortality with just three parameters. |
| ScholarGateConjunto de datos ↗ |
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