Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Bootstrap and empirical likelihood methods in extremes
Yongcheng Qi
Mathematics & Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
24
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bootstrap and empirical likelihood methods in extremes'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Extreme Value Statistics
82%
Empirical Likelihood
63%
Likelihood Methods
63%
Bootstrap
51%
Extremes
50%
Extreme Value Distribution
35%
Asymptotic Optimality
34%
Rare Events
34%
Domain of Attraction
31%
Predict
25%
Distribution Function
23%
Confidence interval
23%
Methodology
20%
Review
20%
Statistics
19%
Business & Economics
Extreme Value Statistics
100%
Bootstrap
79%
Empirical Likelihood
77%
Asymptotic Optimality
57%
Confidence Interval
40%
Rare Events
37%
Extreme Values
33%
Distribution Function
30%
Attraction
25%
Inference
23%
Statistics
20%
Methodology
14%
Engineering & Materials Science
Statistics
41%
Distribution functions
19%