he geometry of statistical efficiency

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dc.contributor.authorGustafson, K.
dc.date.accessioned2013-05-16T04:50:57Z
dc.date.available2013-05-16T04:50:57Z
dc.date.issued2005
dc.description.abstractWe will place certain parts of the theory of statistical efficiency into the author’s operator trigonometry (1967), thereby providing new geometrical understanding of statistical efficiency. Important earlier results of Bloomfield and Watson, Durbin and Kendall, Rao and Rao, will be so interpreted. For example, worse case relative least squares efficiency corresponds to and is achieved by the maximal turning antieigenvectors of the covariance matrix. Some little-known historical perspectives will also be exposed. The overall view will be emphasized.en
dc.identifier.citationGustafson, K. (2005), The geometry of statistical efficiency, Research Letters in the Information and Mathematical Sciences, 8, 105-121en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4467
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectStatistical efficiencyen
dc.titlehe geometry of statistical efficiencyen
dc.typeArticleen
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