A novel method for assessing the statistical significance of quantitative reconstructions inferred from biotic assemblages

By R. Telford, Harry John Betteley Birks. 2011

245 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atmospheric Science, Earth-Surface Processes

View Paper: https://www.semanticscholar.org/paper/d4e9ffe98f25fcffa3139d0eb7f103041afdbcba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. E. Mitchell

In Atmospheric Science

1. R. Payne
2. E. Mitchell
3. M. Lamentowicz
4. B. Warner
5. A. Bobrov

In Earth-Surface Processes

1. R. Payne
2. E. Mitchell
3. B. Warner
4. A. Bobrov

Citations in the corpus

• Development of a new pan-European testate amoeba transfer function for reconstructing peatland palaeohydrology (2016, methodology): “RMSEP values were calculated using the standard leave-one-out (RMSEPLOO) 210 technique, as well as leave-one-site out (RMSEPLOSO; Payne et al., 2012) and segment-wise (RMSEPSW; 211 Telford and Birks, 2011b) approaches.”