《试验设计》是数理统计的一个重要分支。如何通过现象（正确设计试验并搜集数据）看本质（分析数据查找原因）是工程师和科研工作者必备的本领。
Overview
Syllabus
- Chapter 1 Introduction
- 1.1 Course introduction
- 1.2 Basic concepts and principles of DOE
- Chapter 2 Simple comparative experiments
- 2.1 Basic definitions of DOE
- 2.2 Probability distributions
- 2.3 Hypothesis testing
- Chapter 3 Experiments with a single factor: The analysis of variance
- 3.1 Single factor experiments
- 3.2 Single factor analysis of variance
- 3.3 Residual analysis
- Chapter 4 Randomized blocks, Latin squares, and related designs
- 4.1 Randomized complete block design (1)
- 4.2 Randomized complete block design (2)
- 4.3 Latin square design
- Chapter 5 Introduction to factorial designs
- 5.1 Factorial designs
- 5.2 Analysis of variance for factorial designs
- 5.3 Fitting response curves and surfaces
- Chapter 6 The 2^k factorial design
- 6.1 Two level factorial design (1)
- 6.2 Two level factorial design (2)
- 6.3 Unreplicated factorial designs
- Chapter 7 Blocking and confounding in the 2^k design
- 7.1 Blocking and confounding (1)
- 7.2 Blocking & confounding (2)
- Chapter 8 Two-level fractional factorial designs
- 8.1 Fractional factorial design (1)
- 8.2 Fractional factorial design (2)
- 8.3 Resolution III designs
- Chapter 10 Fitting regression models
- 10.1 Regression analysis (1)
- 10.2 Regression analysis (2)
- Final exam 1
- Final exam 1
- Final exam 2
- Final exam 2
Taught by
Hui Sun
