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Kernel density estimation and its application
Work
Year: 2018
Type: article
Abstract: Kernel density estimation is a technique for estimation of probability density function that is a must-have enabling the user to better analyse the studied probability distribution than when using a t... more
Cites: 33
Cited by: 355
Related to: 10
FWCI: 10.67
Citation percentile (by year/subfield): 81.66
Open Access status: diamond