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Related lectures (32)

Model Building: Analysis of Means

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

Design of Experiments: Response Surface

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

Model Building: Analysis of Means

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

Experimental Design: Strategies and Analysis

Discusses experimental design strategies, factors, responses, treatment combinations, and degrees of freedom.

Analysis of Kinematic Hand Synergies in Wire-Harness Installation

Analyzes kinematic hand synergies during wire-harness installation and compares reach-and-grasp to manipulation synergies.

Introduction to ANOVA

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

Experimental Design: Balloon Example

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

Statistics & Experimental Design

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Protein Mass Spectrometry and Proteomics: Randomization Overview

Explores the significance of randomization in protein mass spectrometry and proteomics, highlighting its role in minimizing bias and ensuring research validity.

DOE Qualitative factors I

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

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.

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