抽样调查课程简介

抽样调查是一种非全面调查，是在全部调查单位中按照随机原则抽取一部分单位进行调查，根据调查的结果推断总体的一种调查方法，它是获取统计资料的重要手段，在社会、经济、科研等领域有着广泛的应用。本课程强调“基于问题特征的抽样技术”，在介绍常规抽样技术实现过程和特点的基础上，通过详实生动的案例，采用现代统计方法设计抽样调查方案及分析数据。抽样调查课程的主要内容包括：基本概念及所需的数学准备、问卷设计、简单随机抽样、分层抽样、比估计及回归估计、不等概率抽样、整群抽样、多阶段抽样、系统抽样、复杂样本的方差估计及计算机模拟方法。

Sampling Survey Course Introduction

Sampling survey, a non-overall investigation, is an investigation method, which a part of all investigation units are withdrawn for testing and population features are inferred based on the investigation. It is an important method to obtain statistical materials, and is applied widely in many fields for society, economy, and other scientific researches. This course emphasizes “sampling technology based on problem feature”, which means that by actual examples, modern statistical methods are adopted to design sampling investigation and data analysis on the basis of introducing regular sampling technology features and realization progress. The content of sampling survey course is briefly listed below: basic conception and necessary mathematic preparation, questionnaire design, simple random sampling, stratified sampling, ratio estimation and regression estimation, sampling with unequal probabilities, cluster sampling, multi-stage sampling, systematic sampling, variance analysis for complex samples and computer simulation.