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• W2013317870 abstract "We review published methods of testing for randomness in 3D axial orientation data. We then propose a new test based on eigenvalue analysis. The test statistic is S1/S3, the ratio of the largest to smallest eigenvalues of the orientation tensor. Critical values of this statistic are tabulated and graphed for sample sizes between 5 and 1000, for four confidence levels. The calibrations of S1/S3 were performed by a Monte-Carlo sampling method. The same random samples have been assessed using other tests, as have some natural orientation data samples. We conclude that the S1/S3 test is easier to use and more generally applicable than previous tests, particularly for the common type of data in structural geology." @default.
• W2013317870 created "2016-06-24" @default.
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• W2013317870 date "1983-01-01" @default.
• W2013317870 modified "2023-10-16" @default.
• W2013317870 title "Randomness testing in three-dimensional orientation data" @default.
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• W2013317870 doi "https://doi.org/10.1016/0191-8141(83)90058-5" @default.
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