 A class of always pooling shrinkage testimators for the Weibull modelZuhair A. Al-Hemyari, H.A. Al-Dabag and Ali Al-Humairi International Journal of Mathematics in Operational Research, 2019, vol. 14, issue 3, 407-432 Abstract: Utilising the prior information or additional information from the past in new estimation processes has been receiving considerable attention in the last few decades - as such appears from the list of the references of this paper. In fact, the shrinkage testimators were developed originally for the purpose of utilising the prior information in new estimation problems. In this paper, we have developed a general class of shrinkage testimator, and because it always uses the prior value, are called the always pooling shrinkage testimator for any parameter or distribution. The expressions of bias, risk, risk ratio, relative efficiency, region and shrinkage weight function are derived. The dual importance of the proposed class of testimators are in using the prior information in both stages, something which has significant influence in increasing the relative efficiency and reduction of the sample size required. The comparisons, recommendations, discussions and limitations are provided in this paper. Keywords: always pooling; shrinkage; Weibull failure model; shape parameter; censored data; bias ratio; relative risk. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:14:y:2019:i:3:p:407-432 Access Statistics for this article More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd |
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