In this paper, we propose two classes of shrinkage estimators for the shape parameter of the Weibull distribution in censored samples. The proposed estimators are studied theoretically and have been compared numerically with existing estimators. Computer intensive calculations for bias and relative efficiency show that for, different values of levels of significance and for varying constants involved in the proposed estimators, the proposed testimators fare better than classical and existing estimators.
机构:
Univ Nova Lisboa, Fac Ciencias & Tecnol FCT, Caparica, Portugal
Univ Nova Lisboa, Ctr Matemat & Aplicacoes CMA, Caparica, PortugalUniv Nova Lisboa, Fac Ciencias & Tecnol FCT, Caparica, Portugal
Mateus, Ayana
Caeiro, Frederico
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Univ Nova Lisboa, Fac Ciencias & Tecnol FCT, Caparica, Portugal
Univ Nova Lisboa, Ctr Matemat & Aplicacoes CMA, Caparica, PortugalUniv Nova Lisboa, Fac Ciencias & Tecnol FCT, Caparica, Portugal
机构:
Yunnan Univ, Key Lab Stat Modeling & Data Anal Yunnan Prov, Kunming 650091, Yunnan, Peoples R ChinaYunnan Univ, Key Lab Stat Modeling & Data Anal Yunnan Prov, Kunming 650091, Yunnan, Peoples R China
Ye, Gen
Wang, Songjian
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Yunnan Univ, Key Lab Stat Modeling & Data Anal Yunnan Prov, Kunming 650091, Yunnan, Peoples R ChinaYunnan Univ, Key Lab Stat Modeling & Data Anal Yunnan Prov, Kunming 650091, Yunnan, Peoples R China