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Concept

Design of experiments

Related lectures (32)

Observational Studies: Pitfalls and Valid Conclusions

Highlights the pitfalls of observational studies and the importance of randomized experiments.

Plackett-Burman Design: Hadamard Matrix

Explores the construction and application of Hadamard matrices for efficient estimation of main effects without interactions in the Plackett-Burman Design.

Design of Experiments: Efficiency and Interactions

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

Observational Studies: Pitfalls and Solutions

Explores observational studies, pitfalls, solutions, and the importance of valid conclusions in research projects.

Observational Studies: Pitfalls and Solutions

Explores the challenges of observational studies, emphasizing the importance of randomization and sensitivity analysis in drawing valid conclusions from 'found data'.

Observational Studies: Pitfalls and Solutions

Covers the pitfalls of observational studies, solutions to avoid biases, and the importance of valid conclusions from 'found data'.

Red Influence: Attractiveness, Desirability, and Status

Explores the effects of red on attractiveness, desirability, and status, emphasizing statistical analysis and the challenges of replication and publication bias.

Causal Analysis of Observational Data

Covers causal analysis of observational data, pitfalls, tools for valid conclusions, and addressing confounding variables.

Freely-Jointed-Chain Model

Explores the statistical properties of the Freely-Jointed-Chain model and the Worm-like Chain Model transition from discrete to continuum.

Hadamard Design: Introduction and Construction

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

Hydrogenation and Dehydrogenation of Pyridines and Quinolines

Explores the hydrogenation and dehydrogenation of pyridines and quinolines, emphasizing catalyst performance and practical applications in pharmaceuticals and energy storage.

Introduction to Probability Theory

Covers the basics of probability theory, including definitions, calculations, and important concepts for statistical inference and machine learning.

DOE Qualitative factors III

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

Factorial Experimental Design

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

Response Surfaces: Design of Experiments Methodology Log in to Mediaspace to watch this video

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

Methodology of Design of Experiments Log in to Mediaspace to watch this video

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

Design of Experiments: Statistical Design and Analysis Log in to Mediaspace to watch this video

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

Design of Experiment: Qualitative Factors Log in to Mediaspace to watch this video

Explores the design of experiments through a comic scenario and provides guidance on course materials, exercises, readings, examples, and project assignments.

ExVR Workshop: Introduction and Showcase Log in to Mediaspace to watch this video

Introduces ExVR, a software for creating and executing 3D/2D experiments using VR or not, and showcases various tasks.

Model Building: Analysis of Means Log in to Mediaspace to watch this video

Explores model building using analysis of means to predict removal rates and adhesion strength.