Kernel Hazard Estimation
Kernel Hazard Estimation is a nonparametric statistical method that estimates the hazard function by smoothing event time data through kernel weighting, distinguishing itself from parametric approaches by relying on local averaging around observed failure times without assuming a specific underlying distribution.
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Publications
1.2K
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60
Authors
47
Institutions
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2017–2026
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Hazard function estimators: a simulation study
Kenneth R. Hess, Dan M. Serachitopol · Statistics in Medicine · 1999 · 98 citations
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47

City, University of London
London, United Kingdom
3 h-index
4 publications
59 citations
University of California, Davis
Davis, United States
3 h-index
3 publications
91 citations

Universidade da Coruña
A Coruña, Spain
3 h-index
5 publications
78 citations

University of Göttingen
Göttingen, Germany
2 h-index
2 publications
38 citations

Universidad de Granada
Granada, Spain
2 h-index
4 publications
58 citations

Aarhus Business College
Viby, Denmark
2 h-index
2 publications
94 citations

Australian National University
Canberra, Australia
2 h-index
5 publications
194 citations

University of Groningen
Groningen, The Netherlands
2 h-index
2 publications
24 citations
1–8 of 47
5 publications · 420 citations
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4 publications · 69 citations
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3 publications · 119 citations
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3 publications · 70 citations
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3 publications · 61 citations
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