Methodology of Design of Experiments

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Related lectures (32)

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Response Surfaces: Design of Experiments Methodology

Covers the methodology of design of experiments, focusing on response surfaces and optimizing factor combinations.

Full Factorial Design Introduction

Covers the basics of full factorial design, coding, graphical outputs, and data analysis.

Design of Experiments: Efficiency and Interactions

Introduces the Design of Experiments, emphasizing efficiency and interactions in R&D through historical context and practical examples.

Fractional Factorial Designs

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

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.

Experimental Design: Balloon Example

Covers experimental design using a balloon example to illustrate key concepts in factorial experiments and data analysis.

ANOVA in Full Factorial Designs

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

Factorial Experimental Design

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

Fractional Factorial Designs: Understanding Interactions

Covers fractional factorial designs to efficiently study interactions in experiments, focusing on aliasing, geometric interpretation, and effect selection.

Mixing Plans: Constraints and Models

Explores mixing plans, constraints, and models in Design of Experiments, emphasizing the importance of degrees of freedom.