A maximum likelihood estimation procedure for binary data from cross-over studies

dc.contributor.authorMatthews, G.B. (Glenda Beverley)
dc.contributor.authorCrowther, N.A.S. (Nicolaas Andries Sadie), 1944-
dc.date.accessioned2011-10-14T06:22:30Z
dc.date.available2011-10-14T06:22:30Z
dc.date.issued2011
dc.description.abstractA maximum likelihood estimation procedure is presented for the expected frequencies when modelling binary data from two-period cross-over studies. This procedure provides a simple approach to parameter estimation in models for binary data from cross-over experiments, and in particular for a log-nonlinear model proposed by Becker and Balagtas (1993).en
dc.description.urihttp://www.sastat.org.za/journal.htmen_US
dc.identifier.citationMatthews, GB & Crowther, NAS 2011, 'A maximum likelihood estimation procedure for binary data from cross-over studies', South African Statistical Journal, vol. 45, no. 2, pp. 231–248.en
dc.identifier.issn0038-271X
dc.identifier.urihttp://hdl.handle.net/2263/17446
dc.language.isoenen_US
dc.publisherSouth African Statistical Associationen_US
dc.rightsSouth African Statistical Associationen
dc.subjectBinary cross-over designen
dc.subjectConstraintsen
dc.subjectLog-nonlinear modelsen
dc.subject.lcshEstimation theoryen
dc.subject.lcshLog-linear modelsen
dc.titleA maximum likelihood estimation procedure for binary data from cross-over studiesen
dc.typeArticleen

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