Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Analiza e Tabelës së Jetëgjatësisë× | Projektimi i Popullsisë me Anëtarë-Komponentë× | |
|---|---|---|
| Fusha | Demografi | Demografi |
| Familja≠ | Survival analysis | Process / pipeline |
| Viti i origjinës≠ | 1984 | 2001 |
| Krijuesi≠ | Demographic/actuarial tradition; Chiang | Preston, Heuveline & Guillot |
| Lloji≠ | Age-structured mortality estimator | Demographic projection pipeline |
| Burimi themelues≠ | 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 |
| Emërtime të tjera | Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu | Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu |
| Të lidhura | 3 | 3 |
| Përmbledhja≠ | 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. |
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