Data for: Detecting patterns in statistical distributions by continuous wavelet transforms

Published: 7 May 2018 | Version 1 | DOI: 10.17632/rkymb5bhhy.1
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Description of this data

MAPLE worksheets.
edge.mw: contains the full derivation of the Edgeworth decomposition for the false alarm probability of a sample wavelet transform
qij.mw: contains only the final expressions for the coefficients of the normality test

Experiment data files

This data is associated with the following publication:

Statistical detection of patterns in unidimensional distributions by continuous wavelet transforms

Published in: Astronomy and Computing

Latest version

  • Version 1

    2018-05-07

    Published: 2018-05-07

    DOI: 10.17632/rkymb5bhhy.1

    Cite this dataset

    Baluev, Roman (2018), “Data for: Detecting patterns in statistical distributions by continuous wavelet transforms”, Mendeley Data, v1 http://dx.doi.org/10.17632/rkymb5bhhy.1

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Categories

Astronomy, Statistics

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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