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Handling Missing Data in Ranked Set Sampling

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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  • Språk:
  • Engelska
  • ISBN:
  • 9783642398988
  • Format:
  • Häftad
  • Sidor:
  • 116
  • Utgiven:
  • 15. oktober 2013
  • Utgåva:
  • 2013
  • Mått:
  • 155x235x7 mm.
  • Vikt:
  • 2058 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 13. december 2024

Beskrivning av 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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