 Central limit theorem for directional statistics

The Central Limit Theorem (CLT) for directional statistics is an extension of the classical CLT that applies to circular or directional data, where directions are typically represented on a unit circle. This branch of statistics is particularly important in fields such as biology, geology, and meteorology, where data points may represent angles or orientations rather than linear quantities.