Handling missing data in ranked set sampling
Auteur :
Bouza-Herrera, Carlos N.
Éditeur :
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN :
9783642398988
Date de publication :
15 oct. 2013
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Allemagne
​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.