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TAIL MUTUAL INFORMATION OF VINE COPULAS
Multivariate mutual information describes the amount of uncertainty among several random variables, whose scale-invariant dependence is captured by the copula of the joint distribution. In this dissertation, we first show ...
A Method of Applying an Unbiased Estimator for Monitoring the Weibull Shape Parameter and Time-to-Event Model Using Copula with Accelerated Life Testing
Two topics are discussed in this dissertation. In chapter 1, we introduce a method for monitoring the Weibull shape parameter beta without specifying the values of nuisance parameters. The control limits depend on the ...