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dc.contributor.authorChen, Lin-Anen_US
dc.contributor.authorPeterYang, Hsien-Chuehen_US
dc.contributor.authorTang, Chau-Shyunen_US
dc.date.accessioned2014-12-08T15:12:47Z-
dc.date.available2014-12-08T15:12:47Z-
dc.date.issued2008en_US
dc.identifier.issn0266-4763en_US
dc.identifier.urihttp://hdl.handle.net/11536/9844-
dc.identifier.urihttp://dx.doi.org/10.1080/02664760802271082en_US
dc.description.abstractBuilding from the consideration of closeness, we propose the mode quasi-range as an alternative scale parameter. Application of this scale parameter to formulate the population standard deviation is investigated leading to an efficient sample estimator of standard deviation from the point of asymptotic variance. Monte Carlo studies, in terms of finite sample efficiency and robustness of breakdown point, have been performed for the sample mode quasi-range. This study reveals that this closeness consideration-based mode, quasi-range, is satisfactory because these statistical procedures based on it are efficient and are less misleading for drawing conclusion from the sample results.en_US
dc.language.isoen_USen_US
dc.subjectbreakdown pointen_US
dc.subjectrangeen_US
dc.subjectrobustnessen_US
dc.subjectquasi-rangeen_US
dc.subjectscale parameteren_US
dc.titleMode type quasi-range and its applicationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/02664760802271082en_US
dc.identifier.journalJOURNAL OF APPLIED STATISTICSen_US
dc.citation.volume35en_US
dc.citation.issue10en_US
dc.citation.spage1181en_US
dc.citation.epage1192en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000258499800008-
dc.citation.woscount0-
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