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Lecture
Model Building: Analysis of Means
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Related lectures (32)
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Design of Experiments Basics
Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.
Modeling Qualitative Factors
Explores modeling qualitative factors in experimental design, including pseudo-tensors, Latin squares, and ANOVA analysis.
Fractional Factorial Designs: Generation and Resolution
Explores the methodology of fractional factorial designs in experimental setups.
Experimental Design in Genomic Data Analysis
Emphasizes experimental design in genomic data analysis, addressing technical variability, batch effects, and statistical solutions.
Mixing Plans: Constraints and Models
Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.
DOE Qualitative factors: IV
Explores qualitative factors in Design of Experiments, including statistical tests and error types.
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.
Response Surfaces: Design of Experiments Methodology
Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.
Hadamard Design: Introduction and Construction
Introduces Hadamard and Plackett-Burman designs, explaining construction, analysis, and optimization techniques.
