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- Q3497519 subject Q6863816.
- Q3497519 subject Q7483213.
- Q3497519 subject Q8377535.
- Q3497519 subject Q8878022.
- Q3497519 abstract "Directional statistics (also circular statistics or spherical statistics) is the subdiscipline of statistics that deals with directions (unit vectors in Rn), axes (lines through the origin in Rn) or rotations in Rn. More generally, directional statistics deals with observations on compact Riemannian manifolds.The fact that 0 degrees and 360 degrees are identical angles, so that for example 180 degrees is not a sensible mean of 2 degrees and 358 degrees, provides one illustration that special statistical methods are required for the analysis of some types of data (in this case, angular data). Other examples of data that may be regarded as directional include statistics involving temporal periods (e.g. time of day, week, month, year, etc.), compass directions, dihedral angles in molecules, orientations, rotations and so on.".
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- Q3497519 wikiPageExternalLink index.html.
- Q3497519 wikiPageExternalLink past.
- Q3497519 wikiPageExternalLink mocapy.
- Q3497519 wikiPageExternalLink Circular-Values-Math-and-Statistics-with-Cplusplus.
- Q3497519 wikiPageExternalLink spak_jnm98.pdf.
- Q3497519 wikiPageExternalLink i10.
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- Q3497519 wikiPageExternalLink 25-directional-statistics.pdf.
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- Q3497519 wikiPageExternalLink libDirectional.
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- Q3497519 comment "Directional statistics (also circular statistics or spherical statistics) is the subdiscipline of statistics that deals with directions (unit vectors in Rn), axes (lines through the origin in Rn) or rotations in Rn.".
- Q3497519 label "Directional statistics".
- Q3497519 depiction Fb5_cover.jpg.