Bootstrap For Robust Statistics
Bootstrap for Robust Statistics is a statistical methodology that belongs to the class of resampling techniques and specifically adapts the bootstrap framework to estimate the sampling distribution of robust estimators in the presence of outliers or model misspecification.
23
Publications
3.1K
Citations
50
Authors
26
Institutions
Publications per year
2017–2026
3
Parents
23
An Introduction to Bootstrap Methods
Robert A. Stine · Sociological Methods & Research · 1989 · 371 citations
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California University of Pennsylvania
California, United States
1 h-index
1 publications
371 citations
Universidade Federal de Lavras
Lavras, Brazil
1 h-index
1 publications
1.9K citations
Institute of Social and Preventive Medicine
Lausanne, Switzerland
1 h-index
1 publications
10 citations

St. Jude Children's Research Hospital
Memphis, United States
1 h-index
1 publications
14 citations
Southern Methodist University
Dallas, United States
1 h-index
1 publications
17 citations

Roswell Park Comprehensive Cancer Center
Buffalo, United States
1 h-index
1 publications
10 citations
Emory University
Atlanta, United States
1 h-index
1 publications
13 citations

Tamkang University
Taipei, Taiwan
1 h-index
1 publications
17 citations
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JSS · 2 publications · 81 citations
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2 publications · 73 citations
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JN · 1 publications · 53 citations
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1 publications · 85 citations
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1 publications · 33 citations
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