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

• Applicant: Professor Dr. Christoph Kleinn
• Subject Area: Forestry
• Term: from 2005 to 2009
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 16543999

• Final Report Year: 2009

Final Report Abstract

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.

Publications

• 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.