98年第1學期-1382 抽樣調查 課程資訊

評分方式

評分項目 配分比例 說明
midterm 50
final 50

選課分析

本課程名額為 120人,已有114 人選讀,尚餘名額6人。


登入後可進行最愛課程追蹤 [按此登入]。

授課教師

沈葆聖

教育目標

In this course, we shall first define population and sampling units (primary, secondary, etc.) so that students can understand the difference between a sample and population. Next, we shll 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). It is hoped that students can understand the differences among varying sampling schemes and know which sampling technique should be used in practice. 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. It is hoped that students know how to obtain the biases, variance and the estimatied variance of the estimators. Finally, for estimating the variance of the estimators, the topics of Jackknife method and bootstrap method are also included in this course.

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 Tryfos; 1996, John Wiley

開課紀錄

您可查詢過去本課程開課紀錄。 抽樣調查歷史開課紀錄查詢