113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 | 當週有2/3以上上課時間(2節)出席計算為出席 |
Quiz 1或homework (或含隨堂練習之加分) | 15 | |
Midterm Exam (或含隨堂練習之加分) | 30 | |
Final Exam (含自主學習之加分) | 30 |
選課分析
本課程名額為 70人,已有63 人選讀,尚餘名額7人。
登入後可進行最愛課程追蹤 [按此登入]。
授課教師
黃愉閔教育目標
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.
課程資訊
基本資料
必修課,學分數:3-0
上課時間:四/6,7,8[M121]
修課班級:統計系2A
修課年級:2年級以上
選課備註:人工加選,曾修習統計學下期
教師與教學助理
授課教師:黃愉閔
大班TA或教學助理:尚無資料
Office Hour地點: 管理學院 M436
Hours:
二/5
三/4, 5
四/5
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
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
開課紀錄
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