Bayesian Inference in Extremes Using the Four-Parameter Kappa Distribution
Maximum likelihood estimation (MLE) of the four-parameter kappa distribution (K4D) is known to be occasionally unstable for small sample sizes and to be very sensitive to outliers. To overcome this problem, this study proposes Bayesian analysis of the K4D. Bayesian estimators are obtained by virtue...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/12/2180 |