訓練學生了解因子篩選實驗的分析技巧與所需程式的編寫Training students understand the analysis skills of factor filtering experiments and editing of required programs
在一個因子實驗中常常會有很多可能會影響實驗結果的因子，因此我們常常會在執行一個大型實驗之前先建構一個因子篩選實驗。在這個因子篩選實驗中，實驗徑的個數通常不會太多，要在有限的自由度下探討各因子所造成的影響是非常有挑戰性的。在本課程中，我們將介紹目前在貝氏分析的架構下所發展出一些新的分析因子實驗的方法。本課程主要分為三個部分:
1. 因子實驗分析方法
2. 基本的貝氏分析技巧與貝氏模型平均法
3. 因子篩選實驗的貝氏分析
There are often many factors that may affect the results of the experiment in a factor experiment, so we often construct a factor filtering experiment before performing a large experiment. In this factor filtering experiment, the number of experiments is usually not too many, and it is very challenging to explore the impact of each factor under limited degrees of freedom. In this course, we will introduce some new methods of analytical factor experiments currently developed under the Bethan analysis architecture. This course is mainly divided into three parts:
1. Factor experiment analysis method
2. Basic Betel analysis techniques and Betel model averaging method
3. Beth Analysis of Factor Filter Experiment
1. Wu and Hamada,
Experiments: planning, analysis, and parameter design optimization,2nd ed. 2013.
2. Selected Papers
1. W u u DHA is big,
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Home WorksHome Works homework is |
20 | |
| Mid. ExamMid. Exam mid. exam |
40 | |
| Final ReportFinal Report Final report |
40 |
