Comparer des méthodes

	Brass Growth Balance Method	Brass Relational Logit Model
Domaine	Démographie	Démographie
Famille	Process / pipeline	Regression model
Année d'origine	1975	1971
Auteur d'origine	William Brass	William Brass
Type	Death distribution method for estimating the completeness of death registration	Two-parameter relational mortality model
Source fondatrice	Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512	Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological Aspects of Demography. Taylor & Francis / Barnes & Noble. ISBN: 9780850660425
Alias	Brass growth balance equation, GBM, Death registration completeness estimation, Brass Büyüme Dengesi Yöntemi	Brass Logit System, Brass Logit Life-Table Model, Two-Parameter Logit Mortality Model, Brass İlişkisel Logit Modeli
Apparentées	4	4
Résumé	The Brass growth balance method estimates how complete a country's death registration is when vital statistics are incomplete but a census age distribution exists. Developed by William Brass in 1975, it rests on a simple demographic accounting identity applied above every age: in a stable population the rate at which people enter an open-ended age group must equal the population growth rate plus the rate at which they leave it by dying. Plotting the entry rate against the observed death rate above each age yields a straight line whose slope reveals the fraction of deaths actually registered.	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.