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The Sichel Model and the mixing and truncation order

Author
Puig, X.; Ginebra, J.; Font, M.
Type of activity
Journal article
Journal
Journal of applied statistics
Date of publication
2010
Volume
37
Number
9
First page
1585
Last page
1603
DOI
https://doi.org/10.1080/02664760903093617 Open in new window
Repository
http://hdl.handle.net/2117/9269 Open in new window
Abstract
The analysis of word frequency count data can be very useful in authorship attribution problems. Zerotruncated generalized inverse Gaussian–Poisson mixture models are very helpful in the analysis of these kinds of data because their model-mixing density estimates can be used as estimates of the density of the word frequencies of the vocabulary. It is found that this model provides excellent fits for theword frequency counts of very long texts, where the truncated inverse Gaussian–Poisson spe...
Citation
Puig, X.; Ginebra, J.; Font, M. The Sichel Model and the mixing and truncation order. "Journal of applied statics", 2010, vol. 37, núm. 9, p. 1585-1603.
Group of research
ADBD - Analysis of Complex Data for Business Decisions

Participants