Modified adaptive cluster sampling with conditional extension of field plots - development of response and estimation design

• Antragsteller: Professor Dr. Christoph Kleinn
• Fachliche Zuordnung: Forstwissenschaften
• Förderung: Förderung von 2005 bis 2009
• Projektkennung: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 16543999

• Erstellungsjahr: 2009

Zusammenfassung der Projektergebnisse

In this project the design-unbiased estimators for modified adaptive cluster sampling with conditional plot extension designs were developed and their statistical performances were assessed and analyzed based on the concept of inclusion zone and jigsaw puzzle approach. The comparison shows that the adaptive designs are superior to the non-adaptive design, but only for geographically clustered populations. Their superiorities depend not only on the adaptive design factors including critical value, plots size factor (for option I), distance to the initial sample point (option II) and adaptive BAF (Bitterlich sampling), but also on the spatially arrangements and degrees of clustering of underlying populations.

Projektbezogene Publikationen (Auswahl)

• 2007. Application of adaptive cluster sampling in Multi-resource inventory. Scientia Silvae Sinicae 43 (11), 118-127. (in Chinese with English abstract)
  Lei, Y. and Tang, S.