Kernel Density Estimation of Reliability With Applications to Extreme Value Distribution
In the present study, we investigate kernel density estimation (KDE) and its application to the Gumbel probability distribution. We introduce the basic concepts of reliability analysis and estimation in ordinary and Bayesian settings. The robustness of top three kernels used in KDE with respect to t...
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| Format: | Others |
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Scholar Commons
2008
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| Online Access: | https://scholarcommons.usf.edu/etd/408 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1407&context=etd |