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Article: Estimation of the common mean of a bivariate normal population

TitleEstimation of the common mean of a bivariate normal population
Authors
KeywordsRanked set sampling
Relative precision
REML
Simple random sampling
Issue Date2002
PublisherSpringer Verlag.
Citation
Annals Of The Institute Of Statistical Mathematics, 2002, v. 54 n. 4, p. 861-878 How to Cite?
AbstractIn this paper we discuss the problem of estimating the common mean of a bivariate normal population based on paired data as well as data on one of the marginals. Two double sampling schemes with the second stage sampling being either a simple random sampling (SRS) or a ranked set sampling (RSS) are considered. Two common mean estimators are proposed. It is found that under normality, the proposed RSS common mean estimator is always superior to the proposed SRS common mean estimator and other existing estimators such as the RSS regression estimator proposed by Yu and Lam (1997, Biometrics, 53, 1070-1080). The problem of estimating the mean Reid Vapor Pressure (RVP) of regular gasoline based on field and laboratory data is considered.
Persistent Identifierhttp://hdl.handle.net/10722/83017
ISSN
2015 Impact Factor: 0.768
2015 SCImago Journal Rankings: 0.931
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYu, PLHen_HK
dc.contributor.authorYijun, SUNen_HK
dc.contributor.authorSinha, BKen_HK
dc.date.accessioned2010-09-06T08:35:59Z-
dc.date.available2010-09-06T08:35:59Z-
dc.date.issued2002en_HK
dc.identifier.citationAnnals Of The Institute Of Statistical Mathematics, 2002, v. 54 n. 4, p. 861-878en_HK
dc.identifier.issn0020-3157en_HK
dc.identifier.urihttp://hdl.handle.net/10722/83017-
dc.description.abstractIn this paper we discuss the problem of estimating the common mean of a bivariate normal population based on paired data as well as data on one of the marginals. Two double sampling schemes with the second stage sampling being either a simple random sampling (SRS) or a ranked set sampling (RSS) are considered. Two common mean estimators are proposed. It is found that under normality, the proposed RSS common mean estimator is always superior to the proposed SRS common mean estimator and other existing estimators such as the RSS regression estimator proposed by Yu and Lam (1997, Biometrics, 53, 1070-1080). The problem of estimating the mean Reid Vapor Pressure (RVP) of regular gasoline based on field and laboratory data is considered.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag.en_HK
dc.relation.ispartofAnnals of the Institute of Statistical Mathematicsen_HK
dc.subjectRanked set samplingen_HK
dc.subjectRelative precisionen_HK
dc.subjectREMLen_HK
dc.subjectSimple random samplingen_HK
dc.titleEstimation of the common mean of a bivariate normal populationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-3157&volume=54&issue=4&spage=861&epage=878&date=2002&atitle=Estimation+of+the+common+mean+of+a+bivariate+normal+populationen_HK
dc.identifier.emailYu, PLH: plhyu@hkucc.hku.hken_HK
dc.identifier.authorityYu, PLH=rp00835en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/A:1022475721354en_HK
dc.identifier.scopuseid_2-s2.0-12244304919en_HK
dc.identifier.hkuros80355en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-12244304919&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume54en_HK
dc.identifier.issue4en_HK
dc.identifier.spage861en_HK
dc.identifier.epage878en_HK
dc.identifier.isiWOS:000180553700014-
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridYu, PLH=7403599794en_HK
dc.identifier.scopusauthoridYijun, SUN=16644279200en_HK
dc.identifier.scopusauthoridSinha, BK=7202820380en_HK

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