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Handling Missing Data in Ranked Set Sampling
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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. Traditionally, simple random sampling is used to select samples. RSS models are developed as counterparts of well-known simple random sampling (SRS) models.
Painos
2013 ed.
ISBN
9783642398988
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
15.10.2013
Sivumäärä
116