Handling missing data in ranked set sampling / Carlos N. Bouza-Herrera.
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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Format: | eBook |
Language: | English |
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Heidelberg :
Springer,
2013.
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Series: | SpringerBriefs in statistics.
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Internet
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Call Number: |
QA276.6
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QA276.6 | Available |