Math 2.0

Statistics Definition

Directional statistics

Builds on n-sphereStatistic

Definition

Let p≥2p \ge 2 and let Sp−1={x∈ℝp:∣x∣=1}S^{p-1} = \set{x \in \R^p : \abs{x} = 1} be the unit sphere. Directional statistics is the statistics of data x1,…,xnx_1, \ldots, x_n with values in Sp−1S^{p-1}. More generally the data may lie in a compact manifold such as a rotation group. For p=2p = 2 it is called circular statistics. Its basic statistics come from the resultant vector R=x1+⋯+xnR = x_1 + \cdots + x_n.

  1. The mean resultant length is Rˉ=∣R∣/n\bar R = \abs{R}/n, a number in [0,1][0, 1].
  2. If R≠0R \ne 0, the mean direction is R/∣R∣∈Sp−1R / \abs{R} \in S^{p-1}.
  3. For p=2p = 2, the circular variance is 1−Rˉ1 - \bar R.

Remarks

Example: the angles 350°350° and 10°10° give the unit vectors (cos⁡10°,−sin⁡10°)(\cos 10°, -\sin 10°) and (cos⁡10°,sin⁡10°)(\cos 10°, \sin 10°). Their sum is R=(2cos⁡10°,0)R = (2 \cos 10°, 0), so the mean direction is 0°0° and Rˉ=cos⁡10°≈0.985\bar R = \cos 10° \approx 0.985. Non-example: for the angles 0°0° and 180°180°, R=0R = 0, so the mean direction is not defined; then Rˉ=0\bar R = 0 and the circular variance is 11. The value Rˉ\bar R is close to 11 when the directions are concentrated, and close to 00 when they are spread out or balanced. The mean direction is the point m∈Sp−1m \in S^{p-1} that maximises ∑imTxi\sum_i m^T x_i, so it does not depend on the choice of a zero angle.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Directional_statistics
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