Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ таблиц смертности× | Когортно-компонентный метод прогнозирования населения× | |
|---|---|---|
| Область | Демография | Демография |
| Семейство≠ | Survival analysis | Process / pipeline |
| Год появления≠ | 1984 | 2001 |
| Автор метода≠ | Demographic/actuarial tradition; Chiang | Preston, Heuveline & Guillot |
| Тип≠ | Age-structured mortality estimator | Demographic projection pipeline |
| Основополагающий источник≠ | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2 |
| Другие названия | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu | Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu |
| Связанные | 3 | 3 |
| Сводка≠ | 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. | Cohort-Component Projection is the standard demographic method for forecasting future population size and age-sex structure by explicitly tracking births, deaths, and migration for each age-sex cohort across discrete time steps. Systematically formalized in the textbook literature by Preston, Heuveline, and Guillot (2001), the method builds on foundational actuarial and demographic work dating to the early twentieth century and remains the workhorse technique used by national statistical offices and international organizations worldwide. |
| ScholarGateНабор данных ↗ |
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