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Handling Missing Data in Ranked Set Sampling

af Carlos N. Bouza-Herrera

indgår i SpringerBriefs in Statistics serien

Handling Missing Data in Ranked Set Sampling af Carlos N. Bouza-Herrera
Bag om 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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783642398988
  • Indbinding:
  • Paperback
  • Sideantal:
  • 116
  • Udgivet:
  • 15. Oktober 2013
  • Udgave:
  • 2013
  • Størrelse:
  • 155x235x7 mm.
  • Vægt:
  • 2058 g.
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Leveringstid: 2-3 uger
Forventet levering: 17. Juli 2024

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Beskrivelse af 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.

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