The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program
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Cites
Statistical Decision Theory and Bayesian Analysis
Berger, J. O. (1985) · Springer Series in Statistics · doi:10.1007/978-1-4757-4286-2 · Cited by 7,722
Judgment Under Uncertainty: Heuristics and Biases.
Shafer, G. R., Kahnerman, D., Slovic, P., & Tversky, A. (1984) · Journal of the American Statistical Association · doi:10.2307/2288362 · Cited by 5,657
the delphi method: techniques and applications
Linstone, H. A., & Turoff, M. (1975) · Bibliothèque et Archives nationales du Québec (Québec government) · Cited by 5,231
Judgment under uncertainty: Heuristics and biases
Tversky, A., & Kahneman, D. (1982) · Judgment under Uncertainty · doi:10.1017/cbo9780511809477.002 · Cited by 3,643
Adaptive Management of Renewable Resources.
Rutherford, A. A., & Walters, C. (1987) · Biometrics · doi:10.2307/2531565 · Cited by 3,308
Decision analysis and behavioral research
von Winterfeldt, D., & Edwards, W. (1986) · Medical Entomology and Zoology · Cited by 3,042
Stastical Decision Theory and Bayesian Analysis.
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Applied Statistical Decision Theory
Lindley, D. V., Raiffa, H., & Schlaifer, R. (1962) · Econometrica · doi:10.2307/1909900 · Cited by 2,172
Uncertain Judgements: Eliciting Experts' Probabilities
O'Hagan, A., Buck, C. E., Daneshkhah, A., Eiser, J. R., Garthwaite, P. H., Jenkinson, D. J., Oakley, J. E., & Rakow, T. (2006) · doi:10.1002/0470033312 · Cited by 1,550
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Cited by
Predicting species distributions for conservation decisions
Guisan, A., Tingley, R., Baumgartner, J. B., Naujokaitis‐Lewis, I., Sutcliffe, P. R., Tulloch, A. I. T., Regan, T. J., Brotons, L., McDonald‐Madden, E., Mantyka‐Pringle, C., et al. (2013) · Ecology Letters · doi:10.1111/ele.12189 · Cited by 2,068
A practical guide to structured expert elicitation using the IDEA protocol
Hemming, V., Burgman, M. A., Hanea, A. M., McBride, M. F., & Wintle, B. C. (2018) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12857 · Cited by 528
Methods and workflow for spatial conservation prioritization using Zonation
Lehtomäki, J., & Moilanen, A. (2013) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2013.05.001 · Cited by 454
The use of Bayesian priors in Ecology: The good, the bad and the not great
Banner, K. M., Irvine, K. M., & Rodhouse, T. J. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13407 · Cited by 135
Quantifying Earth system interactions for sustainable food production via expert elicitation
Chrysafi, A., Virkki, V., Jalava, M., Sandström, V., Piipponen, J., Porkka, M., Lade, S. J., La Mere, K., Wang-Erlandsson, L., Scherer, L., et al. (2022) · Nature Sustainability · doi:10.1038/s41893-022-00940-6 · Cited by 41
Metadata
- Authors
- Runge, M. C., Converse, S. J., & Lyons, J. E.
- Venue
- Biological Conservation
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 144
- Issue
- 4
- Pages
- 1214-1223
- ISSN
- 0006-3207 (ISSN-L)
- OpenAlex
- W1974960176
- Cited by
- 450
- References
- 33
- FWCI
- 22.77
- Type
- journal article
- Language
- en
- Open access
- green
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- Runge, M. C., Converse, S. J., & Lyons, J. E. (2011). Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program. Biological Conservation. https://doi.org/10.1016/j.biocon.2010.12.020
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
