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

Matthews, G.B. (Glenda Beverley); Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-

dc.contributor.author	Matthews, G.B. (Glenda Beverley)
dc.contributor.author	Crowther, N.A.S. (Nicolaas Andries Sadie), 1944-
dc.date.accessioned	2011-10-14T06:22:30Z
dc.date.available	2011-10-14T06:22:30Z
dc.date.issued	2011
dc.description.abstract	A 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.uri	http://www.sastat.org.za/journal.htm	en_US
dc.identifier.citation	Matthews, 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.issn	0038-271X
dc.identifier.uri	http://hdl.handle.net/2263/17446
dc.language.iso	en	en_US
dc.publisher	South African Statistical Association	en_US
dc.rights	South African Statistical Association	en
dc.subject	Binary cross-over design	en
dc.subject	Constraints	en
dc.subject	Log-nonlinear models	en
dc.subject.lcsh	Estimation theory	en
dc.subject.lcsh	Log-linear models	en
dc.title	A maximum likelihood estimation procedure for binary data from cross-over studies	en
dc.type	Article	en