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Kernel smoothing density estimate for circular data 1.0

  Date Added: April 11, 2013  |  Visits: 207

Kernel smoothing density estimate for circular data

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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.

Requirements: No special requirements
Platforms: Matlab
Keyword: Adrian Analysis Bowman Chapman Density Deviation Estimation Presented Raton Silverman
Users rating: 0/10

License: Shareware Size: 10 KB
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