Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Brass Growth Balance Method× | Levensboomanalyse× | |
|---|---|---|
| Vakgebied | Demografie | Demografie |
| Familie≠ | Process / pipeline | Survival analysis |
| Jaar van ontstaan≠ | 1975 | 1984 |
| Grondlegger≠ | William Brass | Demographic/actuarial tradition; Chiang |
| Type≠ | Death distribution method for estimating the completeness of death registration | Age-structured mortality estimator |
| Oorspronkelijke bron≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512 | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 |
| Aliassen | Brass growth balance equation, GBM, Death registration completeness estimation, Brass Büyüme Dengesi Yöntemi | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu |
| Verwant≠ | 4 | 3 |
| Samenvatting≠ | 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. | 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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