Brass Relational Logit Model
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.
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Sources
- Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological Aspects of Demography. Taylor & Francis / Barnes & Noble. ISBN: 9780850660425
- Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512
How to cite this page
ScholarGate. (2026, June 22). Brass Relational Logit Life-Table System. ScholarGate. https://scholargate.app/en/demography/brass-relational-logit
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Coale-Trussell ModelDemography↔ compare
- Gompertz-Makeham Law of MortalityDemography↔ compare
- Lee-Carter ModelDemography↔ compare
- Life TableDemography↔ compare