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Modelling probability density functions based on the Gram–Charlier series with higher-order statistics: Theoretical derivation and application
Wei Wang
, Koki Seta,
Naoki Ikegaya
Thermo Fluid Dynamics Division
Research output
:
Contribution to journal
›
Article
›
peer-review
20
Citations (Scopus)
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Dive into the research topics of 'Modelling probability density functions based on the Gram–Charlier series with higher-order statistics: Theoretical derivation and application'. Together they form a unique fingerprint.
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Earth and Planetary Sciences
Probability Density Function
100%
Pedestrian
80%
Wind
60%
Occurrence
60%
Accuracy
60%
Model
40%
Event
40%
Investigation
40%
Utilization
40%
Datum
20%
Speed
20%
Assessment
20%
Estimate
20%
Value
20%
Order
20%
Moment
20%
Data Set
20%
Expansion
20%
Time Series
20%
Flexibility
20%
Data Base
20%
Turbulence
20%
Large Eddy Simulation
20%
Derivation
20%
Wind Velocity
20%
Building
20%
Normal Density Functions
20%
Statistical Information
20%
Engineering
Probability Density Function
100%
Accuracy
60%
Models
40%
Applications
40%
Estimation
40%
Events
40%
Higher-Order Statistics
40%
Determines
20%
Buildings
20%
Velocity Component
20%
Dataset
20%
Theoretical Method
20%
Large Eddy Simulation
20%
Instantaneous Velocity
20%
Large Error
20%
Sixth Order
20%
Probe Point
20%