99年第2學期-4844 實驗設計 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 70人,已有34 人選讀,尚餘名額36人。
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授課教師
沈葆聖教育目標
The subject of experimental design is important due to its
widespread use in many areas of scientific research. The topic of
this course will include introduction of the principles of
experimental designs and randomization, the process of design and
corresponding analysis of variance. We shall introduce many
important designs, such as completely randomized design,
randomized block design, Latin type design, nested design,
factorial design, incomplete design, split-plot design, cross over
design, and response response surface design. It is essential that
students obtain a firm understanding of the philosophical basis
and of the principles of experimental design as well as a broad
knowledge of available designs together with their assumptions and
application. The students also need to learn how to derive a liner
model from a specific design. Based on linear model theory, they
should be able to derive the statistical inferences of various
designs.
課程概述
The subject of experimental design is important due to its widespread use in many areas of scientific research. The topic of this course will include introduction of the principles of experimental designs and randomization, the process of design and corresponding analysis of variance. We shall introduce many important designs, such as completely randomized design, randomized block design, Latin type design, nested design, factorial design, incomplete design, split-plot design, cross over design, and response surface design. It is essential that students obtain a firm understanding of the philosophical basis and of the principles of experimental design as well as a broad knowledge of available designs together with their assumptions and application. The students also need to learn SAS coding to analyze data from various designs.
課程資訊
基本資料
必修課,學分數:0-3
上課時間:三/5,6[M222] 四/1[M233]
修課班級:統計碩1
修課年級:年級以上
選課備註:
教師與教學助理
授課教師:沈葆聖
大班TA或教學助理:尚無資料
Office HourTuesday: 8:10-10:00 am
Thursday: 8:10-10:00 am
or arrange an appointment
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
Design and Analysis of Experiments
by Hinkelmann and Kempthorne
開課紀錄
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