= Statistical degrees of freedom
{title2=$\nu$}
= Statistical degree of freedom
{synonym}
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.
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