102年第1學期-1767 抽樣調查 課程資訊

課程分享

選課分析

本課程名額為 70人,已有56人選讀,尚餘名額14人。

評分方式

評分項目 配分比例 說明
quiz 1 20 Do not miss the test
midterm exam 30 Do not miss the test
quiz 2 20 Do not miss the test
final exam 30 Do not miss the test

授課教師

陳志賢

教育目標

This course introduces to the students the four basic sampling methods and other related subjects.

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, Text and Cases, P. Tryfos, John, Wiley and Sons