Kernel smoothing density estimate for circular data

Versione 1.4 (29,2 KB) da Vlad Atanasiu
Provides various methods to smooth circular data.
5.0
(1)
1,4K download
Aggiornato 19 nov 2014

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This is a companion to Matlab's Statistics toolbox ksdensity function and Philipp Berens' CircStat toolbox.
The difference with Matlab's ksdensity function is that this function is adaped to circular data, such as wind orientation. Using Matlab's function will give biased values at the extremities of the pdf for circular data.

The kernel used in this function is a normal distribution with an automatically computed optimal standard deviation as presented in:
- Silverman B. W. (1998), Density Estimation for Statistics and Data Analysis, Chapman & Hall / CRC, Boca Raton (FL), 47-8.
- Bowman Adrian W. & Adelchi Azzalini (1997) - Applied Smoothing Techniques for Data Analysis, Oxford University Press, 31.
- Wand M. P. & M. C. Jones (1995) - Kernel Smoothing, Chapman & Hall, London, 60-3.

Cita come

Vlad Atanasiu (2024). Kernel smoothing density estimate for circular data (https://www.mathworks.com/matlabcentral/fileexchange/32614-kernel-smoothing-density-estimate-for-circular-data), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2010a
Compatibile con qualsiasi release
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Versione Pubblicato Note della release
1.4

Published as Matlab toolbox (.mltbx file).
1.3.0.0

Added circ_irq supplemental file.
1.1.0.0

Modified screenshot.
1.0.0.0