Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics - Carlos N. Bouza-Herrera - Books - Springer-Verlag Berlin and Heidelberg Gm - 9783642398988 - October 15, 2013
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Carlos N. Bouza-Herrera
Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics 2013 edition

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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.

126 pages, biography

Media Books     Paperback Book   (Book with soft cover and glued back)
Released October 15, 2013
ISBN13 9783642398988
Publishers Springer-Verlag Berlin and Heidelberg Gm
Pages 116
Dimensions 155 × 235 × 7 mm   ·   190 g
Language English  

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