File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Uniform designs for mixture-amount experiments and for mixture experiments under order restrictions

TitleUniform designs for mixture-amount experiments and for mixture experiments under order restrictions
Authors
KeywordsDiscrepancy
Isotonic Restriction
Monte Carlo Optimization
Multivariate Distribution
Uniform Design
Issue Date1999
PublisherScience in China Press. The Journal's web site is located at http://www.scichina.com:8081/sciAe/EN/volumn/current.shtml
Citation
Science In China, Series A: Mathematics, Physics, Astronomy, 1999, v. 42 n. 5, p. 456-470 How to Cite?
AbstractWith order statistics of the uniform distribution on [0,1], exponential and beta distributions, a stochastic representation is obtained for the uniform distribution over various domains, where A-type domains are closely associated with reliability growth analysis, order restricted statistical inference and isotonic regression theory, V-type domains are connected with the mixture-amount experiments, and T-type domains are well related to mixture experiments. With these stochastic representations, the corresponding uniform distribution and number-theoretic nets can be generated. This approach seems to be new and is called order statistics method. Some examples on reliability growth analysis and experimental design are presented.
Persistent Identifierhttp://hdl.handle.net/10722/172404
ISSN
2011 Impact Factor: 0.701
2012 SCImago Journal Rankings: 0.540
References

 

DC FieldValueLanguage
dc.contributor.authorTian, Gen_US
dc.contributor.authorFang, Ken_US
dc.date.accessioned2012-10-30T06:22:21Z-
dc.date.available2012-10-30T06:22:21Z-
dc.date.issued1999en_US
dc.identifier.citationScience In China, Series A: Mathematics, Physics, Astronomy, 1999, v. 42 n. 5, p. 456-470en_US
dc.identifier.issn1006-9283en_US
dc.identifier.urihttp://hdl.handle.net/10722/172404-
dc.description.abstractWith order statistics of the uniform distribution on [0,1], exponential and beta distributions, a stochastic representation is obtained for the uniform distribution over various domains, where A-type domains are closely associated with reliability growth analysis, order restricted statistical inference and isotonic regression theory, V-type domains are connected with the mixture-amount experiments, and T-type domains are well related to mixture experiments. With these stochastic representations, the corresponding uniform distribution and number-theoretic nets can be generated. This approach seems to be new and is called order statistics method. Some examples on reliability growth analysis and experimental design are presented.en_US
dc.languageengen_US
dc.publisherScience in China Press. The Journal's web site is located at http://www.scichina.com:8081/sciAe/EN/volumn/current.shtmlen_US
dc.relation.ispartofScience in China, Series A: Mathematics, Physics, Astronomyen_US
dc.subjectDiscrepancyen_US
dc.subjectIsotonic Restrictionen_US
dc.subjectMonte Carlo Optimizationen_US
dc.subjectMultivariate Distributionen_US
dc.subjectUniform Designen_US
dc.titleUniform designs for mixture-amount experiments and for mixture experiments under order restrictionsen_US
dc.typeArticleen_US
dc.identifier.emailTian, G: gltian@hku.hken_US
dc.identifier.authorityTian, G=rp00789en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0042233438en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0042233438&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume42en_US
dc.identifier.issue5en_US
dc.identifier.spage456en_US
dc.identifier.epage470en_US
dc.publisher.placeChinaen_US
dc.identifier.scopusauthoridTian, G=25621549400en_US
dc.identifier.scopusauthoridFang, K=7102880697en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats