Experimental Design: Strategies and Analysis

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Related lectures (31)

Page 3 of 4

Distribution Estimation

Covers the estimation of distributions using various methods such as minimum loss and expectation.

Polynomial Optimization: SOS and Nonnegative Polynomials

Explores polynomial optimization, emphasizing SOS and nonnegative polynomials, including the representation of polynomials as quadratic functions of monomials.

Design of Experiments: Statistical Design and Analysis

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

Regression Methods: Spline Smoothing

Covers regression methods focusing on spline smoothing and penalised fitting to balance data fidelity and smoothness.

ANOVA in Full Factorial Designs

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

Causal Analysis of Observational Data

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

Fractional Factorial Design: Main Effects and Interactions

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

Least-squares Approximation

Explains the concept of least-squares approximation and its computation in specific and general cases.

Paired Tests: Shoe Sole Experiment

Explores paired tests using a shoe sole experiment, showing significant differences between materials A and B.

Fractional Factorial Design and Analysis

Explores exploiting redundancies, confounding effects, and analyzing fractional factorials in experimental designs.