Lectures related to Design of Experiment: Qualitative Factors

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.

Design of Experiments: Statistical Design and Analysis

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

Mixing Plans: Constraints and Models

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

Design of Experiments Basics

Covers the fundamentals of Design of Experiments (DOE) and experimental strategies.

DOE Qualitative factors III

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

Design and Analysis of Experiments

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

Fractional Factorial Designs

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

Fractional Factorial Designs: Understanding Interactions

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

Fractional Factorial Designs: Generation and Resolution

Explores the methodology of fractional factorial designs in experimental setups.

Full Factorial Design Introduction

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

DOE Qualitative factors I

Covers the importance of exercises, numerical tools, and iterative problem-solving in DOE.

Introduction to Fractional Factorial Designs

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

DOE Qualitative factors: IV

Explores qualitative factors in Design of Experiments, including statistical tests and error types.

Experimental Design: Balloon Example

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

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.

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.

Factorial Experimental Design

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