D-optimal population designs for the simple linear random coefficients regression model

dc.contributor.authorDebusho, Legesse Kassa
dc.contributor.authorHaines, Linda M.
dc.contributor.emaillegesse.debusho@up.ac.zaen_US
dc.date.accessioned2012-02-27T12:56:36Z
dc.date.available2012-02-27T12:56:36Z
dc.date.issued2010-11
dc.description.abstractIn this paper D-optimal population designs for the simple linear random coefficients regression model with values of the explanatory variable taken from a set of equally spaced, non-repeated time points are considered. The D-optimal designs depend on the values of the variance components and locally optimal designs are therefore considered. It is shown that, if the time points are linearly transformed, then the D-optimal population designs for both the fixed effects and the variance components do not necessarily map onto one another. This result is illustrated numerically by means of a simple example.en
dc.description.librariannf2012en
dc.description.urihttp://www.sastat.org.za/journal.htmen_US
dc.identifier.citationDebusho, LK & Haines, LM 2010, 'D-optimal population designs for the simple linear random coefficients regression model', South African Statistical Journal, no. 1, pp. 52-59.en
dc.identifier.issn0038-271X
dc.identifier.urihttp://hdl.handle.net/2263/18247
dc.language.isoenen_US
dc.publisherSouth African Statistical Associationen_US
dc.rightsSouth African Statistical Associationen
dc.subjectLinear regressionen
dc.subjectRandom coefficientsen
dc.subjectInformation matrixen
dc.subjectPopulation designsen
dc.subjectD-optimalityen
dc.subject.lcshRegression analysisen
dc.subject.lcshMultilevel models (Statistics)en
dc.titleD-optimal population designs for the simple linear random coefficients regression modelen
dc.typeArticleen

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