99年第1學期-1400 抽樣調查 課程資訊

評分方式

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

教育目標

The aims of this course are: (1) Learn the setups and the mechanics of sampling procedures, (2) Learn the computations associated with sampling, (3) Make meaningful inferences concerning the population based on (1) and (2).

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

選修課，學分數：3-0
上課時間：一/10,11,12[H206]
修課班級：統計系4
修課年級：年級以上
選課備註：重修班;限大四修,大三請人工加選

參考書目

Sampling Methods For Applied Research, 1996, Peter Tryfos, John Wiley and Sons