Parametric Distribution Fitting
Parametric Distribution Fitting is a statistical methodology that belongs to the class of distribution modeling techniques, specifically involving the estimation of parameters for a pre-specified probability distribution family to best match an observed dataset.
91
Publications
5.4K
Citations
209
Authors
123
Institutions
Publications per year
2017–2026
29
91
1–5 of 91
209
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3
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Centre National de la Recherche Scientifique, France
3 publications · 2.3K citations
3
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3
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3
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1–5 of 209
123

Benha University
Banhā, Egypt
3 h-index
5 publications
135 citations

Ahmadu Bello University
Zaria, Nigeria
3 h-index
7 publications
130 citations
The University of Texas at Austin
Austin, United States
3 h-index
6 publications
252 citations
Alceon Corporation (United States)
Cambridge, United States
3 h-index
4 publications
84 citations

Massey University
Palmerston North, New Zealand
3 h-index
4 publications
81 citations
University of Siegen
Siegen, Germany
3 h-index
9 publications
361 citations

Monash University Malaysia
Subang Jaya, Malaysia
2 h-index
5 publications
143 citations
Taif University
Ta'if, Saudi Arabia
2 h-index
3 publications
43 citations
1–8 of 123
4 publications · 108 citations
4
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2 publications · 53 citations
2
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2 publications · 247 citations
2
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1 publications · 19 citations
2
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JSS · 2 publications · 2.2K citations
2
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1–5