Using Inverse Probability Bootstrap Sampling to Eliminate Sample Induced Bias in Model Based Analysis of Unequal Probability Samples
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DOI: 10.1371/journal.pone.0131765
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References listed on IDEAS
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- Steven L Van Wilgenburg & C Lisa Mahon & Greg Campbell & Logan McLeod & Margaret Campbell & Dean Evans & Wendy Easton & Charles M Francis & Samuel Haché & Craig S Machtans & Caitlin Mader & Rhiannon F, 2020. "A cost efficient spatially balanced hierarchical sampling design for monitoring boreal birds incorporating access costs and habitat stratification," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
- Buil-Gil, David & Solymosi, Reka & Moretti, Angelo, 2019. "Non-parametric bootstrap and small area estimation to mitigate bias in crowdsourced data. Simulation study and application to perceived safety," SocArXiv 8hgjt, Center for Open Science.
- McHugh, Peter A. & Saunders, W. Carl & Bouwes, Nicolaas & Wall, C. Eric & Bangen, Sara & Wheaton, Joseph M. & Nahorniak, Matthew & Ruzycki, James R. & Tattam, Ian A. & Jordan, Chris E., 2017. "Linking models across scales to assess the viability and restoration potential of a threatened population of steelhead (Oncorhynchus mykiss) in the Middle Fork John Day River, Oregon, USA," Ecological Modelling, Elsevier, vol. 355(C), pages 24-38.
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