住户抽样调查的人口预测和调整方法:方法概述

H. O. Ayhan
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引用次数: 1

摘要

人口预测对于更新人口信息至关重要,人口信息将被用作许多调查,如卫生、农业和许多其他调查的理想抽样框架。用于人口预测的技术可分为数学模型和队列成分预测模型。当我们只需要预测总体和域总体时,数学模型是有用的。因此,他们使用过去的人口总数来预测未来的人口水平。在线性、几何、逻辑和指数等可能的曲线拟合方法中,最广泛使用的人口预测数学模型是指数模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Population Projection and Adjustment Methodologies for Household Sample Surveys: an Overview of Methodology
Population projections are essential for updating the population information which will be used as the ideal sampling frame for many surveys such as health, agriculture and many others. The techniques used to make population projections can be classified as mathematical models and cohort component projection models. Mathematical models are useful when we only need to project the total and domain populations. Therefore, they use total population figures from the past to project future population levels. Among the possible alternative curve fitting methods like linear, geometric, logistic and exponential, the most widely used mathematical model for population projections is exponential model.
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