Empirical Cumulative Distribution Function
An Empirical Cumulative Distribution Function is a non-parametric estimator of the cumulative distribution function of a random variable, defined as the step function that jumps by \( \frac{1}{n} \) at each observed data point, thereby representing the proportion of observations less than or equal to a given value in a finite sample.
455
Publications
26.5K
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997
Authors
543
Institutions
Publications per year
2017–2026
97
Variants
EcdfEmpirical Distribution Function
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University of Illinois Urbana-Champaign, United States
3 publications · 68 citations
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Centre National de la Recherche Scientifique
Paris, France
8 h-index
10 publications
433 citations
Stanford University
Stanford, United States
6 h-index
8 publications
591 citations
Iowa State University
Ames, United States
6 h-index
14 publications
440 citations
The Ohio State University
Columbus, United States
5 h-index
7 publications
726 citations

Johns Hopkins University
Baltimore, United States
5 h-index
5 publications
151 citations
University of Maryland, College Park
College Park, United States
5 h-index
13 publications
886 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
8 publications
192 citations
The University of Texas at Austin
Austin, United States
5 h-index
10 publications
938 citations
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22 publications · 2.2K citations
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16 publications · 1.3K citations
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