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Fractional Factorial Design and Analysis
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Related lectures (32)
Full Factorial Design Introduction
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Covers the basics of full factorial design, coding, graphical outputs, and data analysis.
Fractional Factorial Designs: Understanding Interactions
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Covers fractional factorial designs to efficiently study interactions in experiments, focusing on aliasing, geometric interpretation, and effect selection.
Fractional Factorial Designs: Generation and Resolution
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Explores the methodology of fractional factorial designs in experimental setups.
Modeling Qualitative Factors
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Explores modeling qualitative factors in experimental design, including pseudo-tensors, Latin squares, and ANOVA analysis.
Mixing Plans: Constraints and Models
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Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.
Linear Regression Analysis: Diagnostic and Variance
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Explores linear regression diagnostic methods, variance analysis, and experimental design concepts.
Design of Experiments Basics
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Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.
Model Building: Analysis of Means
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Explores model building using analysis of means to predict removal rates and adhesion strength.
Experimental Design: Balloon Example
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Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.
Qualitative Factors in Workshop Optimization
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Covers the optimization of a workshop through qualitative factors analysis and modeling.
Design and Analysis of Experiments
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Covers the design and analysis of experiments, focusing on statistics for experimenters.
Response Surfaces: Design of Experiments Methodology
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Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.
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