So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phương pháp Ước tính Dân số theo Sinh-Tử-Di cư (Cohort-Component Projection)× | Phân tích Bàn Lập Sinh Mệnh (Life Table Analysis)× | |
|---|---|---|
| Lĩnh vực | Nhân khẩu học | Nhân khẩu học |
| Họ≠ | Process / pipeline | Survival analysis |
| Năm ra đời≠ | 2001 | 1984 |
| Người khởi xướng≠ | Preston, Heuveline & Guillot | Demographic/actuarial tradition; Chiang |
| Loại≠ | Demographic projection pipeline | Age-structured mortality estimator |
| Công trình gốc≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2 | Chiang, C. L. (1984). The Life Table and Its Applications. Robert E. Krieger Publishing. ISBN: 978-0-89874-565-2 |
| Tên gọi khác | Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu |
| Liên quan | 3 | 3 |
| Tóm tắt≠ | 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. | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|