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Lecture
Fractional Factorial Design and Analysis
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Related lectures (32)
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Modeling Qualitative Factors
Explores modeling qualitative factors in experimental design, including pseudo-tensors, Latin squares, and ANOVA analysis.
Qualitative factors II
Explores qualitative factors in experimental design, factorial strategies, model computation, and practical exercises in Matlab.
Mixing Plans: Constraints and Models
Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.
Linear Regression Analysis: Diagnostic and Variance
Explores linear regression diagnostic methods, variance analysis, and experimental design concepts.
Design of Experiments Basics
Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.
Understanding Statistics & Experimental Design
Covers basic probability theory, ANOVA, experimental design, and correlations, emphasizing the importance of planning multiple tests and power analysis.
Model Building: Analysis of Means
Explores model building using analysis of means to predict removal rates and adhesion strength.
Experimental Design: Balloon Example
Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.
Qualitative Factors in Workshop Optimization
Covers the optimization of a workshop through qualitative factors analysis and modeling.
Hadamard Design: Introduction and Construction
Introduces Hadamard and Plackett-Burman designs, explaining construction, analysis, and optimization techniques.
