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A continuous binning for discrete, sparse and concentrated observations.

MethodsX

Prieto Curiel R, Cabrera Arnau C, Torres Pinedo M, González Ramírez H, Bishop SR.
PMID: 32021812
MethodsX. 2019 Oct 23;7:100709. doi: 10.1016/j.mex.2019.10.020. eCollection 2020.

Discrete observations from data which are obtained from sparse, and yet concentrated events are often observed (e.g. road accidents or murders). Traditional methods to compute summary statistics often include placing the data in discrete bins but for this type...

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Prieto Curiel R, Cabrera Arnau C, Torres Pinedo M, et al. A continuous binning for discrete, sparse and concentrated observations. MethodsX. 2019;7:100709doi: 10.1016/j.mex.2019.10.020.
Prieto Curiel, R., Cabrera Arnau, C., Torres Pinedo, M., González Ramírez, H., & Bishop, S. R. (2020). A continuous binning for discrete, sparse and concentrated observations. MethodsX, 7100709. https://doi.org/10.1016/j.mex.2019.10.020
Prieto Curiel, Rafael, et al. "A continuous binning for discrete, sparse and concentrated observations." MethodsX vol. 7 (2020): 100709. doi: https://doi.org/10.1016/j.mex.2019.10.020
Prieto Curiel R, Cabrera Arnau C, Torres Pinedo M, González Ramírez H, Bishop SR. A continuous binning for discrete, sparse and concentrated observations. MethodsX. 2019 Oct 23;7:100709. doi: 10.1016/j.mex.2019.10.020. eCollection 2020. PMID: 32021812; PMCID: PMC6994295.
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