Lectures related to Canonical Analysis: Classic Plans and Simplex Method

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

Design of Experiments: Statistical Design and Analysis

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

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

Response Surfaces: Design of Experiments Methodology

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

Design of Experiments: Efficiency and Interactions

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

Methodology of Design of Experiments

Explores the basics of statistics, the significance of experimental designs, and their practical applications in various fields.

Fractional Factorial Example and Higher Order Equations

Covers the design of a catapult experiment and higher order equations.

Fractional factorial design: Basics and Applications

Explores fractional factorial design basics, including blocking alias, interaction effects, and design comparison.

Fractional Factorial Designs: Understanding Interactions

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

Introduction to ANOVA

Covers the basics of ANOVA using a case study on sleeping pill effectiveness.

Fractional Factorial Design: Main Effects and Interactions

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

Introduction to Fractional Factorial Designs

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

Qualitative factors II

Explores qualitative factors in experimental design, factorial strategies, model computation, and practical exercises in Matlab.

DOE Qualitative factors III

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

Fractional Factorial Designs

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

Design and Analysis of Experiments

Covers the design and analysis of experiments, focusing on statistics for experimenters.

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.

Model Building: Analysis of Means

Explores model building using analysis of means for predicting factors' effects and interactions.