Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Brass Relational Logit Model× | Analýza životních tabulek× | |
|---|---|---|
| Obor | Demografie | Demografie |
| Rodina≠ | Regression model | Survival analysis |
| Rok vzniku≠ | 1971 | 1984 |
| Tvůrce≠ | William Brass | Demographic/actuarial tradition; Chiang |
| Typ≠ | Two-parameter relational mortality model | Age-structured mortality estimator |
| Původní zdroj≠ | 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 |
| Další názvy | 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 |
| Příbuzné≠ | 4 | 3 |
| Shrnutí≠ | 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. |
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