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| Coale-McNeil Marriage Model× | Analiza tablic trwania życia× | |
|---|---|---|
| Dziedzina | Demografia | Demografia |
| Rodzina≠ | Regression model | Survival analysis |
| Rok powstania≠ | 1972 | 1984 |
| Twórca≠ | Ansley J. Coale & Donald R. McNeil | Demographic/actuarial tradition; Chiang |
| Typ≠ | Parametric model of the age schedule of first marriage | Age-structured mortality estimator |
| Źródło pierwotne≠ | Coale, A. J., & McNeil, D. R. (1972). The distribution by age of the frequency of first marriage in a female cohort. Journal of the American Statistical Association, 67(340), 743–749. DOI ↗ | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 |
| Inne nazwy≠ | Coale-McNeil Nuptiality Model, Coale-McNeil Model Schedule of First Marriage, Standard Nuptiality Schedule | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu |
| Pokrewne≠ | 4 | 3 |
| Podsumowanie≠ | The Coale-McNeil model is a parametric description of how first marriages are distributed by age. Ansley Coale and Donald McNeil showed in 1972 that the age pattern of first marriage in widely different populations has a common shape, captured by a single standard curve that can be shifted and stretched. Three parameters — an origin age at which marriage starts, a scale that controls how spread out the process is, and the ultimate proportion who ever marry — reproduce almost any observed first-marriage schedule, giving demographers a compact and comparable summary of nuptiality. | 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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