 Statistical degrees of freedom

The number of free dimensions remaining after specified constraints often determines a reference sampling distribution. In a full-rank normal linear model with $n$ observations and $p$ mean coefficients, the residual space has dimension $n-p$. A regular nested likelihood-ratio test instead uses the difference in free statistical parameter dimensions. Boundary constraints may invalidate this regular calibration.