Lectures related to Response surface methodology

Response Surfaces: Design of Experiments Methodology

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

Explores advanced surface response designs and optimization trade-offs.

Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.

Methodology of Design of Experiments

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

Qualitative Factors in Workshop Optimization

Covers the optimization of a workshop through qualitative factors analysis and modeling.

Response Surfaces I: LoF and Plans

Explores lack of fit concept and experimental designs for second-degree functions.

Full Factorial Design Introduction

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

Fractional Factorial Designs

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

Experimental Design: Balloon Example

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

Design of Experiments: Response Surface

Explores experimental design methodology, including classic plans, simplex method, and canonical analysis for linear and quadratic models.

Factorial Experimental Design

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

ANOVA in Full Factorial Designs

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

Graphical Analysis of Full Factorials

Explores the graphical analysis of full factorial experiments, emphasizing efficient data analysis and interpretation of main effects and interactions.

Linear Regression Analysis: Diagnostic and Variance

Explores linear regression diagnostic methods, variance analysis, and experimental design concepts.

Design Thinking: History and Concepts

Delves into the history and concepts of design thinking and its applications.

Optimal Linear Response: Stochastic Dynamical Systems

Explores optimal linear response for stochastic dynamical systems, addressing perturbations and mixing rate optimization.

ANOVA and Factorial Experiments

Explores ANOVA, factorial experiments, and model evaluation techniques.