Restricted randomization

Related lectures (10)

Explores modeling qualitative factors in experimental design, including pseudo-tensors, Latin squares, and ANOVA analysis.

Explores random effects, model checking, and nested vs. crossed effects in modern regression modeling.

Explores qualitative factors in Design of Experiments, including Latin squares, factorial designs, and ANOVA tables.

Explores replicates, ANOVA, and factor elimination in full factorial designs using ANOM tables and model equations.

Explores fractional factorial design, emphasizing main effects and interactions in experimental design.

Covers factorial experimental design, 2-way ANOVA, interaction plots, and unbalanced designs.

Introduces 2N Full Factorial Design, factorial matrices, main effects, interactions, MATLAB plans, and result analysis.

Compares classic and fractional factorial designs, covering main effects, interactions, MATLAB generation, and chemical reactor analysis.

Explores fractional factorial designs, from types to analysis and model building.

Introduces Hadamard and Plackett-Burman designs, explaining construction, analysis, and optimization techniques.

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