Name: Handling Missing Data in Ranked Set Sampling
Price: 664.95 DKK
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Author: Carlos N. Bouza-Herrera
ISBN: 9783642398988

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

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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.

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Sprog:
Engelsk

ISBN:
9783642398988

Forlag:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Indbinding:
Paperback

Sideantal:
116

Udgivet:
15. oktober 2013

Udgave:
2013

Størrelse:
155x235x7 mm.

Vægt:
2058 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 5. december 2024

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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.

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