Robust estimation of mean and variance using environmental data sets with below detection limit observations
By Anita Singh, John M. Nocerino. 2002
130 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/07ef3d6ea82afb53c7e1a6f38df1f7ca5e08de52
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In Statistics and Probability
Citations in the corpus
- Fabricating data: how substituting values for nondetects can ruin results, and what can be done about it. (2006, background): “…methods generally do not work well for small data sets (fewer than 30–50 detected values), in which one or two outliers throw off the estimation, or where there is insufficient evidence to know whether the assumed distribution fits the data well (Singh and Nocerino, 2002; Shumway et al., 2002).”