1. Fourier spectral analysis for unevenly spaced, average value, data
- Author
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Alejandro Nava, F.
- Subjects
- *
FOURIER analysis , *DATA analysis , *SPECTRAL theory , *MONTE Carlo method , *ERROR analysis in mathematics , *NUMERICAL calculations , *EXTREME value theory , *ESTIMATION theory - Abstract
Abstract: We propose a method for Fourier spectral analysis of unevenly spaced data which correspond to averages of a given quantity; the method is particularly adapted to data from counting, such as specimen counts from borehole samples. The method is extremely straightforward and takes into account the effects of data averaging. A Monte Carlo approach is used to evaluate possible effects of random errors in time determinations and in counting; probabilities for different possible spectral values are estimated. The method is implemented as a Matlab function. [Copyright &y& Elsevier]
- Published
- 2010
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