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DOE Additional Information¶

This section provides supplementary information and background concepts for Design of Experiments (DOE) in Quantum XL.

Topics¶

Blocking - How to use blocking to reduce the effect of nuisance factors
Categorical Inputs - Working with categorical (non-numeric) input factors
Categorical vs. Quantitative - Understanding the difference between categorical and quantitative factors
Covariate Pattern - Understanding covariate patterns in experimental designs
Folding - How to fold fractional factorial designs to de-alias effects
Screening vs. Modeling - When to use screening designs vs. response surface designs

Binomial Logistic Residuals - Understanding residuals for binary response data
Power and Sample Size Calculation - Determining the appropriate sample size for your experiment
S-Hat Model - Understanding the S-Hat (variance) model
Type I and Type II Error - Understanding statistical errors in hypothesis testing
Types of Outputs - Different types of response variables (continuous, binary, nominal)
Understanding Least Square Residuals - Interpreting residual plots