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Efficiency of ranked set sampling in entropy estimation and goodness-of-fit testing for the inverse Gaussian law
Year: 2010
Abstract:
When measuring units are expensive or time consuming, while ranking them is relatively easy and inexpensive, it is known that ranked set sampling (RSS) is preferable to simple random sampling (SRS). Many authors have ...
Improved entropy based test of uniformity using ranked set samples
Year: 2013
Abstract:
Ranked set sampling (RSS) is known to be superior to the tradi
tional simple random sampling
(SRS) in the sense that it often leads to more efficient infere
nce procedures. Basic version of RSS
has ...
Quantile Estimation Using Ranked Set Samples from a Population with Known Mean
Year: 2012
Abstract:
Ranked set sampling (RSS) is a cost-efficient technique for data collection when the
units in a population can be easily judgment ranked by any cheap method other
than actual measurements. Using auxiliary ...