訓練學生分析實驗資料與實基礎驗設計理論能力

Training students' analyzing experiment data and basic experience design theory ability

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.

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 variation. 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.

Wu, C.F.J., Hamada, M. (2009). Experiments: planning, analysis, and parameter design optimization, 2nd Edition. John Wiley & Sons.

Wu, C.F.J., Hamada, M. (2009). Experiments: planning, analysis, and parameter design optimization, 2nd Edition. John Wiley & Sons.