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Quantile estimation with Latin hypercube sampling
Hui Dong,
Marvin K. Nakayama
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
16
Scopus citations
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Dive into the research topics of 'Quantile estimation with Latin hypercube sampling'. Together they form a unique fingerprint.
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Keyphrases
Quantile Estimation
100%
Latin Hypercube Sampling
100%
Single Sample
80%
Quantile Estimator
80%
Confidence Interval
40%
High Dimension
20%
Numerical Results
20%
Stochastic Systems
20%
Central Limit Theorem
20%
Variance Reduction
20%
Stratified Sampling
20%
Linear Transformation
20%
Asymptotic Variance
20%
Cumulative Distribution Function
20%
Asymptotic Validity
20%
Bahadur Representation
20%
Consistent Estimator
20%
Mathematics
Quantile
100%
Latin Hypercube
100%
Confidence Interval
28%
Minimizes
14%
Higher Dimensions
14%
Asymptotics
14%
Stochastic System
14%
Variance Reduction Technique
14%
Central Limit Theorem
14%
Risk Measure
14%
Variance
14%
Stratified Sampling
14%
Linear Transformation
14%
Asymptotic Variance
14%
Cumulative Distribution Function
14%
Consistent Estimator
14%