Statistical analysis for the angular central Gaussian distribution on the sphere

@article{citeulike:788757, abstract = {The angular central Gaussian distribution is an alternative to the Bingham distribution for modeling antipodal symmetric directional data. In this paper the statistical theory for the angular central Gaussian model is presented. Some topics treated are maximum likelihood estimation of the parameters, testing for uniformity and circularity, and principal components analysis. Comparisons to methods based upon the sample second moments are made via an example. 10.1093/biomet/74.3.579}, author = {Tyler, David E. }, citeulike-article-id = {788757}, doi = {http://dx.doi.org/10.1093/biomet/74.3.579}, journal = {Biometrika}, month = {September}, number = {3}, pages = {579--589}, posted-at = {2006-08-07 14:14:50}, priority = {2}, title = {Statistical analysis for the angular central Gaussian distribution on the sphere}, url = {http://dx.doi.org/10.1093/biomet/74.3.579}, volume = {74}, year = {1987} }

TY - JOUR ID - citeulike:788757 L3 - citeulike-article-id:788757 TI - Statistical analysis for the angular central Gaussian distribution on the sphere JF - Biometrika VL - 74 IS - 3 SP - 579 EP - 589 N2 - The angular central Gaussian distribution is an alternative to the Bingham distribution for modeling antipodal symmetric directional data. In this paper the statistical theory for the angular central Gaussian model is presented. Some topics treated are maximum likelihood estimation of the parameters, testing for uniformity and circularity, and principal components analysis. Comparisons to methods based upon the sample second moments are made via an example. 10.1093/biomet/74.3.579 AU - Tyler, David PY - 1987/09/01/ UR - http://dx.doi.org/10.1093/biomet/74.3.579 ER -