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Evaluation of mapped-plot variance estimators across a range of partial nonresponse in a post-stratified national forest inventory

Authors :
Charles T. Scott
Andrew J. Lister
James A. Westfall
Source :
Canadian Journal of Forest Research. 52:280-285
Publication Year :
2022
Publisher :
Canadian Science Publishing, 2022.

Abstract

When conducting a forest inventory, sometimes portions of plots cannot be measured due to inaccessibility. Two primary methods have been presented to account for partial nonresponse in the estimation phase: (i) use a ratio-to-size estimator or (ii) apply an adjustment factor to all plot observations in proportion to the missing area. Both approaches provide identical estimates of the population mean, but the estimates of variance differ when partial nonresponse is present. The performance of variance estimators was examined for a range of population forest area and partial nonresponse proportions in the sample. The ratio-to-size variance estimator performed unbiasedly with respect to simulation results, but the adjustment factor variance estimates were biased, with magnitude and direction dependent upon the forest area proportion and amount of partial nonresponse. The bias is relatively small when the partial nonresponse is small, which is often the case; however, the ratio-to-size method is preferred to ensure accurate variance estimation for a wide range of circumstances.

Details

ISSN :
12086037 and 00455067
Volume :
52
Database :
OpenAIRE
Journal :
Canadian Journal of Forest Research
Accession number :
edsair.doi...........75b20a588551cd479ca463b458f53675
Full Text :
https://doi.org/10.1139/cjfr-2021-0159