2021
DOI: 10.1080/03610918.2021.1963454
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Linear Bayes estimator of the extreme value distribution based on type II censored samples

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“…Liu [27] studied the parameter estimation problem of singular linear models with equality constraints and concluded that the higher the degree of singularity of the model, the more obvious the superiority of the best homogeneous linear Bayesian unbiased estimation over the least-squares estimation. Chen [28] introduces a linear Bayesian method for estimating parameters in extreme value distributions from Type II censored samples. This approach, which combines Bayesian and optimization techniques, offers a straightforward and practical solution, overcoming the complexity often associated with classical Bayesian estimation.…”
Section: Introductionmentioning
confidence: 99%
“…Liu [27] studied the parameter estimation problem of singular linear models with equality constraints and concluded that the higher the degree of singularity of the model, the more obvious the superiority of the best homogeneous linear Bayesian unbiased estimation over the least-squares estimation. Chen [28] introduces a linear Bayesian method for estimating parameters in extreme value distributions from Type II censored samples. This approach, which combines Bayesian and optimization techniques, offers a straightforward and practical solution, overcoming the complexity often associated with classical Bayesian estimation.…”
Section: Introductionmentioning
confidence: 99%