Handling Missing Data in Ranked Set Sampling

Carlos N. Bouza-Herrera

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2013

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?The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.

ISBN-13
9783642398988
ISBN-10
3642398987
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Year
2013
Publication date
2013-10-15
Pages
116
Dimensions
235x155x