Bias

The systematic difference between the expected value of an estimator and the true parameter value: Bias(θ̂) = E(θ̂) − θ. An estimator with zero bias is called unbiased. Bias can arise from poor sampling design, model misspecification, or measurement error, and is distinct from random sampling variability (variance).