103年第1學期-1750 抽樣調查 課程資訊

課程分享

選課分析

本課程名額為 120人,已有113人選讀,尚餘名額7人。

評分方式

評分項目 配分比例 說明
midterm 50
final 50

授課教師

沈葆聖

教育目標

The course aims to equip the students with sampling techniques, which include the method of sampling (one-stage and two-stage), the corresponding estimator, the variance (and the estimated variance) of the estimators. It is expected that the students have sufficient knowledge to design survey and analyze survey data.

課程概述

Sampling is widely used in the modern world. The statistical offices of many nations have sample surveys conducted on topics of interest such as unemployment, size of labor force etc.. Furthermore, sample surveys are often conducted by company on topics of the behavior of consumers. Sampling design determines the precision of the estimates. Thus, the way a sample is drawn is as important as the mathematical form of the estimator. Sample design consists of both a sample selection plan and an estimation procedure. In this course, we shall first define population, sampling units (primary, secondary, etc.); then introduce many sampling schemes, such as simple random sampling (with or without replacement), stratified sampling (optimum allocation of sampling units to various strata), multistage sampling (e.g. two-stage stratified cluster sampling), systematic sampling, double sampling, and sampling with unequal probabilities (with or without replacement). We shall also introduce ratio estimator, regression estimator, and poststratification estimators. Finally, we shall derive the variances of the proposed estimators and the estimators of their variances. For estimating the variance of the estimators, the topics of Jackknife method and bootstrap method are also included in this course.

課程資訊

參考書目

Sampling Methods for Applied Research by Peter Tryfors, John Wiley and Sons, Inc.