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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...
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| Lenguaje: | eng |
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Springer
2013
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-39899-5 http://cds.cern.ch/record/1625537 |