Joint versus separate estimation of state and change in category frequencies from repeat stratified two-phase sampling with a fallible classifier.

@article{Magnussen2002JointVS,
  title={Joint versus separate estimation of state and change in category frequencies from repeat stratified two-phase sampling with a fallible classifier.},
  author={Steen Magnussen},
  journal={Environmental monitoring and assessment},
  year={2002},
  volume={78 1},
  pages={63-87}
}
Joint maximum likelihood estimates (JML) of category frequencies and change from repeat stratified two-phase sampling surveys with a fallible classifier are often seriously biased and have large root mean square errors when they are obtained for small populations (<5,000) with three or more categories and a moderate to small phase II sample size (<1,000). JML estimates of state also depend on antecedent or posterior data, a recipe for inconsistency. In these situations, a separate maximum… CONTINUE READING