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Estimating Change Over Time From Aggregate Samples Plus Partial Transition Data

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Estimating Change Over Time From Aggregate Samples Plus Partial Transition Data

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dc.contributor.author Han, Chien-Pai en
dc.contributor.author Hawkins, D. L. en
dc.date.accessioned 2010-06-03T18:03:08Z en
dc.date.available 2010-06-03T18:03:08Z en
dc.date.issued 2000-05 en
dc.identifier.uri http://hdl.handle.net/10106/2326 en
dc.description.abstract As such, the paper has two basic thrusts. The first is that to obtain efficient estimates of change measures (e.g. of transition probabilities) based on aggregate data, auxiliary data will in general be needed; several potentially useful auxiliary sampling schemes are discussed. The second thrust is the manner in which estimates from the such varied sampling schemes can be combined to achieve such efficient estimates. Since it either directly or indirectly suggests many possible longitudinal study designs, the paper necessarily cannot provide real examples of all (or even most) of the study designs considered. Indeed, the main point here is to suggest how future longitudinal studies aimed at measuring change, but in circumstances where it is difficult to obtain transition data, might be done more effectively. en
dc.language.iso en_US en
dc.publisher University of Texas at Arlington en
dc.relation.ispartofseries Technical Report;340 en
dc.subject Aggregate data en
dc.subject Sampling schemes en
dc.subject Change measures en
dc.subject.lcsh Statistics en
dc.subject.lcsh Mathematics Research en
dc.title Estimating Change Over Time From Aggregate Samples Plus Partial Transition Data en
dc.type Technical Report en
dc.publisher.department Department of Mathematics en

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