SMS scnews item created by John Ormerod at Wed 13 Aug 2014 1513
Type: Seminar
Distribution: World
Expiry: 23 Aug 2014
Calendar1: 22 Aug 2014 1400-1500
CalLoc1: Carslaw 173
Auth: jormerod@pjormerod4.pc (assumed)

Statistics Seminar: Ganes S Ganeslingam (Massey University) -- Ranked Set Sampling versus Simple Random Sampling in the Estimation of the Mean and the Ratio

It is common in practice that the experimental units can be
ranked easily using a cheaply measurable covariate than
quantification of the main variable of interest which requires
expensive measurements.  In such situation ranked set sampling
is more beneficial and cost effective. Environmental monitoring
and assessment, for example, requires observational data where
the ranked set sampling is proved to achieve observational
economy when compared to the traditional simple random sampling.
Ranked set sampling employs judgment ordering to obtain the
actual sample and hence yield a sample of observations that is
more representative of the underlying population.  Therefore,
either greater confidence is gained for a fixed number of
observations, or for a desired level of confidence, a smaller
number of observations is needed.  In either way it is a big
gain to the researcher. In this paper, we introduce the basic
concepts of ranked set sampling and its application in the
estimation of the population mean.


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