111年第1學期-1580 抽樣調查 課程資訊

評分方式

評分項目	配分比例	說明
Attendance	10
Quiz 1或homework	15
Midterm Exam	30
Final Exam	30
Quiz 2或homework	15

教育目標

This course is aimed to learn and understand several important sampling schemes conducted in survey and major statistical applications. These sampling schemes include simple random sampling, stratified sampling, two-stage sampling, ratio and regression estimation, sampling with unequal probabilities. For the sampling process, the course deliver the detailed concepts and also statistical steps for carrying out the sampling and derive estimation using the samples. Some computational skills may require to be familiar with for doing the sampling analysis. Some modern sampling techniques or methods maybe further introduced in the course, such as bootstrap and jack knife.

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.

基本資料

必修課，學分數：3-0
上課時間：一/6,7,8[M117]
修課班級：統計系2A
修課年級：年級以上
選課備註：人工加選,曾修習統計學下期

參考書目

Sampling: Design & Analysis 2/e
+作者：Lohr
+年份：2010 年2 版
+ISBN：9780495110842
+書號：PS0366P
+規格：平裝/單色
+頁數：608
+出版商：Brooks-Cole