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Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics Carlos N. Bouza-Herrera 2013 edition
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Handling Missing Data in Ranked Set Sampling - SpringerBriefs in Statistics
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. 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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2013. gada 15. oktobris |
| ISBN13 | 9783642398988 |
| Izdevēji | Springer-Verlag Berlin and Heidelberg Gm |
| Lapas | 116 |
| Izmēri | 155 × 235 × 7 mm · 190 g |
| Valoda | Angļu |
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