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Covariance Labs

Aliasing

When two or more effects cannot be told apart because the design varies them in the same pattern.

Aliased effects share a single estimate. If an aliased pair looks significant you cannot say which of them is responsible without more runs. Aliasing is deliberate in fractional designs and is described by the design's defining relation.

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