Tests for constancy of the mean fall and rise times of a light curve

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dc.contributor.advisor Prof. F. Lombard en_US
dc.contributor.author Potgieter, Gert Diedericks Johannes
dc.date.accessioned 2012-08-27T08:30:29Z
dc.date.available 2012-08-27T08:30:29Z
dc.date.issued 2012-08-27
dc.date.submitted 1999
dc.identifier.uri http://hdl.handle.net/10210/6579
dc.description M.Sc. en_US
dc.description.abstract The brightness of many stars vary over time. A plot of the brightness against time is known as a light curve. The fall and rise times of the light curve can be modelled by two cross-correlated white noise processes. We propose four statistics to test the hypothesis of a constant mean fall and rise time of the light curve against the alternative that at least one of the fall or rise times exhibits a change in mean. The asymptotic null distributions of the test statistics are derived. The power of these four test statistics will be compared via Monte Carlo simulations for a few alternatives. The use of these test statistics is illustrated by application to data from the variable stars R Camelopardalis and R Cassiopeiae. en_US
dc.language.iso en en_US
dc.subject Stars en_US
dc.subject Light en_US
dc.subject Optics en_US
dc.subject Wave mechanics en_US
dc.title Tests for constancy of the mean fall and rise times of a light curve en_US
dc.type Mini-Dissertation en_US

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