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A gamma kernel density estimation for insurance loss data
Yongho Jeon
,
Joseph H.T. Kim
Department of Applied Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Citations (Scopus)
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Dive into the research topics of 'A gamma kernel density estimation for insurance loss data'. Together they form a unique fingerprint.
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Mathematics
Kernel Density Estimator
50%
Skewness
33%
Loss Insurance
33%
Classes
33%
Conditionals
16%
Numerical Example
16%
Optimization
16%
Nonnegativity
16%
Kernel Density Estimation
16%
Parametric Model
16%
Type Model
16%
Straightforward Implementation
16%
Gamma Density
16%
Samples
16%
Converges
16%
Kernel
16%
Random Variable
16%
Physics
Model
100%
Mixtures
33%
Asymmetry
16%
Shapes
16%
Utilization
16%
Flexibility
16%
Standard
16%
Optimization
16%
Economics, Econometrics and Finance
Estimation Theory
50%
Loss
50%