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The method of quasilikelihood

dc.contributor.authorLin, Yan-xia
dc.date.accessioned2017-11-27T23:24:05Z
dc.date.available2017-11-27T23:24:05Z
dc.date.copyright1992
dc.date.issued1992
dc.date.updated2017-10-23T04:39:38Z
dc.description.abstractThe methods of “ Maximum Likelihood ” (ML) and “ Least Squares” (LS) are two central methods in the theory of inference. They have being developed and studied for a long time, and they still play an important role in statistics. However, as time goes on, more and more understanding of natural phenomena has been obtained and more diverse requirements have been introduced into statistical practice. Sometimes those phenomena and requirements cause some difficulties in the use of the ML and LS methods. Therefore statisticians have to look in detail into the advantages and weaknesses of each of the methods.en_AU
dc.format.extentvii, 179 leaves
dc.identifier.otherb1826548
dc.identifier.urihttp://hdl.handle.net/1885/136146
dc.language.isoenen_AU
dc.subject.lcshEstimation theory
dc.subject.lcshMathematical statistics
dc.titleThe method of quasilikelihooden_AU
dc.typeThesis (PhD)en_AU
dcterms.valid1992en_AU
local.contributor.supervisorHeyde, C. C.
local.description.notesThesis (Ph.D.)--Australian National University, 1992. This thesis has been made available through exception 200AB to the Copyright Act.en_AU
local.identifier.doi10.25911/5d70f2f6ddc76
local.mintdoimint
local.type.degreeDoctor of Philosophy (PhD)en_AU

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