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	Brass Relational Logit Model	Analisi della tavola di mortalità
Campo	Demografia	Demografia
Famiglia	Regression model	Survival analysis
Anno di origine	1971	1984
Ideatore	William Brass	Demographic/actuarial tradition; Chiang
Tipo	Two-parameter relational mortality model	Age-structured mortality estimator
Fonte seminale	Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological Aspects of Demography. Taylor & Francis / Barnes & Noble. ISBN: 9780850660425	Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2
Alias	Brass Logit System, Brass Logit Life-Table Model, Two-Parameter Logit Mortality Model, Brass İlişkisel Logit Modeli	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu
Correlati	4	3
Sintesi	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.	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.