Anzeige
Erschienen in:
2021 | OriginalPaper | Buchkapitel
16. Negative Adaptive Cluster Sampling
verfasst von : Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra
Erschienen in: Advanced Sampling Methods
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
The adaptive cluster sampling (ACS) design has been discussed in Chap. 10. Although the ACS design is found appropriate for sampling from a rare and clustered population, it suffers from the drawback of losing control of the final sample size. Several suggestions have been made by the different researchers for limiting this final sample size of the adaptive cluster sample. For instance, Salehi and Seber (1997a, b) suggested a two-stage sampling design in which primary units are selected using a conventional design and secondary units within the selected primary units are sub-sampled using ACS. Brown (1994) proposed a design in which initial sample is selected sequentially until the final sample size reaches a specified value.