Sine-skewed axial distributions with an application for fallen tree data |
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Authors: | Toshihiro Abe Kunio Shimizu Timo Kuuluvainen Tuomas Aakala |
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Institution: | 1. The Institute of Statistical Mathematics, Midori-cho, Tachikawa, Tokyo, Japan 2. Department of Mathematics, Keio University, Yokohama, Japan 3. Department of Forest Sciences, University of Helsinki, Helsinki, Finland
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Abstract: | An axis is an undirected line where there is no reason to distinguish one end of the line from the other. Phenomena in nature that can be described as axial data are numerous. In this paper a method of trigonometric moments for the axial normal or axial von Mises distribution as an alternative to the method by Arnold and SenGupta (Environ Ecol Stat 13:271–285, 2006) is discussed. Sine-skewed axial Jones–Pewsey, von Mises and wrapped Cauchy distributions are introduced as special cases of a more general construction of skew axial distributions. As an example the methods are applied to a data set which consists of the orientations of logs on the floor of a primeval spruce forest. |
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