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Bivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data
Gaurav Agarwal,
Ying Sun
Statistics
Computer, Electrical and Mathematical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
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Dive into the research topics of 'Bivariate Functional Quantile Envelopes with Application to Radiosonde Wind Data'. Together they form a unique fingerprint.
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Mathematics
Atmospheric Pressure
33%
Bivariate
100%
Bivariate Distribution
66%
Functional Data
66%
Gaussian Distribution
33%
Outlier Detection
100%
Quantile
100%
Simulation Study
33%
Wind Speed
66%
Earth and Planetary Sciences
Atmospheric Pressure
16%
Quantile
100%
Radiosondes
100%
Upper Atmosphere
16%
Wind Direction
33%
Wind Profiles
16%
Wind Velocity
33%
Computer Science
Atmospheric Pressure
33%
Detection Procedure
33%
Functional Data
66%
Outlier Detection
100%
Simulation Study
33%
Visualization Tool
33%
Keyphrases
Bivariate Functional Data
40%
Outlier Prediction
20%
Quantile Methods
20%