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dc.contributor.authorChia, J.
dc.contributor.authorBaddeley, Adrian
dc.date.accessioned2017-01-30T11:54:49Z
dc.date.available2017-01-30T11:54:49Z
dc.date.created2015-10-29T04:09:49Z
dc.date.issued2011
dc.date.submitted2015-10-29
dc.identifier.citationChia, J. and Baddeley, A. 2011. Estimating a ratio of means from bivariate counts with applications in stereology. Australian and New Zealand Journal of Statistics. 53 (3): pp. 365-387.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16258
dc.identifier.doi10.1111/j.1467-842X.2011.00629.x
dc.description.abstract

In survey sampling and in stereology, it is often desirable to estimate the ratio of means ?= E(Y)/E(X) from bivariate count data (X, Y) with unknown joint distribution. We review methods that are available for this problem, with particular reference to stereological applications. We also develop new methods based on explicit statistical models for the data, and associated model diagnostics. The methods are tested on a stereological dataset. For point-count data, binomial regression and bivariate binomial models are generally adequate. Intercept-count data are often overdispersed relative to Poisson regression models, but adequately fitted by negative binomial regression. © 2011 Australian Statistical Publishing Association Inc.

dc.publisherWILEY-BLACKWELL
dc.titleEstimating a ratio of means from bivariate counts with applications in stereology
dc.typeJournal Article
dcterms.dateSubmitted2015-10-29
dcterms.source.volume53
dcterms.source.number3
dcterms.source.startPage365
dcterms.source.endPage387
dcterms.source.issn1369-1473
dcterms.source.titleAustralian and New Zealand Journal of Statistics
curtin.digitool.pid232788
curtin.pubStatusPublished
curtin.refereedTRUE
curtin.departmentDepartment of Mathematics and Statistics
curtin.identifier.scriptidPUB-VC-ORD-SA-18773
curtin.identifier.elementsidELEMENTS-94945
curtin.accessStatusFulltext not available


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