পদ্ধতির তুলনা করুন

	কোহর্ট-কম্পোনেন্ট জনসংখ্যা অভিক্ষেপ	লাইফ টেবিল অ্যানালাইসিস	স্থিতিশীল জনসংখ্যা তত্ত্ব
ক্ষেত্র	জনমিতি	জনমিতি	জনমিতি
পরিবার	Process / pipeline	Survival analysis	Regression model
উদ্ভবের বছর	2001	1984	1972
প্রবর্তক	Preston, Heuveline & Guillot	Demographic/actuarial tradition; Chiang	Alfred J. Lotka; Ansley Coale
ধরন	Demographic projection pipeline	Age-structured mortality estimator	Mathematical demographic model
মৌলিক উৎস	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	Coale, A. J. (1972). The Growth and Structure of Human Populations: A Mathematical Investigation. Princeton University Press. ISBN: 978-0-691-09357-4
অপর নাম	Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu	Mortality Table, Actuarial Table, Survival Table, Yaşam Tablosu	Lotka-Coale Stable Population Model, Stable Age Distribution Theory, Stationary Population Theory, Kararlı Nüfus Teorisi
সম্পর্কিত	3	3	2
সারসংক্ষেপ	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.	Stable Population Theory is a mathematical framework in demography that describes the age structure and growth dynamics of a closed population subject to constant age-specific fertility and mortality schedules over a long period. Foundational work by Alfred J. Lotka established the core integral equation in the early twentieth century, and Ansley Coale's 1972 mathematical synthesis became the definitive theoretical reference, showing that any population exposed to invariant vital rates will converge to a unique stable age distribution growing at a fixed intrinsic rate of natural increase.