:: Kernel Density Estimation - Free Statistics Software (Calculator) ::
All rights reserved. The non-commercial (academic) use of this software is free of charge. The only thing that is asked in return is to cite this software when results are used in publications.
This free online software (calculator) performs the Kernel Density Estimation for any data series according to the following Kernels: Gaussian, Epanechnikov, Rectangular, Triangular, Biweight, Cosine, and Optcosine. The result is displayed in a series of images.
Enter (or paste) your data delimited by hard returns.
Click here to edit the underlying code of this R Module.
|Cite this software as:|
|Wessa, P. (2015), Kernel Density Estimation (v1.0.12) in Free Statistics Software (v1.1.23-r7), Office for Research Development and Education, URL http://www.wessa.net/rwasp_density.wasp/|
|The R code is based on :|
|Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988), The New S Language, Wadsworth & Brooks/Cole (for S version)|
|Scott, D. W. (1992), Multivariate Density Estimation. Theory, Practice and Visualization, New York: Wiley.|
|Sheather, S. J. and Jones M. C. (1991), A reliable data-based bandwidth selection method for kernel density estimation., J. Roy. Statist. Soc. B, 683-690.|
|Silverman, B. W. (1986), Density Estimation, London: Chapman and Hall.|
|Venables, W. N. and Ripley, B. D. (2002), Modern Applied Statistics with S, New York: Springer.|
To cite Wessa.net in publications use:
Wessa, P. (2017), Free Statistics Software, Office for Research Development and Education,
version 1.1.23-r7, URL http://www.wessa.net/
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Software Version : 1.1.23-r7
Algorithms & Software : Patrick Wessa, PhD
Server : wessa.net