109年第2學期-6189 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

教育目標

The objective of this course is to provide students with knowledge in experimental design and corresponding methods of data analysis. This course will cover CRD, RCBD, factorial designs (fixed, mixed and random models), nested Designs, split-plot Design, cross over design, repeated measurement, analysis of covariance, incomplete block design, fractional factorial design and response surface. Students also learn SAS coding for analyzing data.

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 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.

基本資料

選修課，學分數：0-3
上課時間：一/1,2,3[M222]
修課班級：統計碩博1,2
修課年級：年級以上
選課備註：

參考書目

1. Design of Experiments : Statistical Principles of Research Design and Analysis.
(2nd Edition), by Robert, O. Kuehl
2. Design and Analysis of Experiments, by Hinkelmann and Kemphorne