Handling missing data in ranked set sampling /
The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling i...
|Series:||SpringerBriefs in statistics.
|Online Access:||Online version|
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