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Improving Removal-Based Estimates of Abundance by Sampling a Population of Spatially Distinct Subpopulations

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  • Robert M. Dorazio
  • Howard L. Jelks
  • Frank Jordan

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  • Robert M. Dorazio & Howard L. Jelks & Frank Jordan, 2005. "Improving Removal-Based Estimates of Abundance by Sampling a Population of Spatially Distinct Subpopulations," Biometrics, The International Biometric Society, vol. 61(4), pages 1093-1101, December.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:4:p:1093-1101
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00360.x
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    References listed on IDEAS

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    1. J. Andrew Royle, 2004. "N-Mixture Models for Estimating Population Size from Spatially Replicated Counts," Biometrics, The International Biometric Society, vol. 60(1), pages 108-115, March.
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    Cited by:

    1. Robert M. Dorazio & Bhramar Mukherjee & Li Zhang & Malay Ghosh & Howard L. Jelks & Frank Jordan, 2008. "Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior," Biometrics, The International Biometric Society, vol. 64(2), pages 635-644, June.
    2. Brun, Mélanie & Abraham, Christophe & Jarry, Marc & Dumas, Jacques & Lange, Frédéric & Prévost, Etienne, 2011. "Estimating an homogeneous series of a population abundance indicator despite changes in data collection procedure: A hierarchical Bayesian modelling approach," Ecological Modelling, Elsevier, vol. 222(5), pages 1069-1079.
    3. Tenan, S. & Maffioletti, C. & Caccianiga, M. & Compostella, C. & Seppi, R. & Gobbi, M., 2016. "Hierarchical models for describing space-for-time variations in insect population size and sex-ratio along a primary succession," Ecological Modelling, Elsevier, vol. 329(C), pages 18-28.
    4. Antonio Canale & Igor Prünster, 2017. "Robustifying Bayesian nonparametric mixtures for count data," Biometrics, The International Biometric Society, vol. 73(1), pages 174-184, March.
    5. William A. Link & Sarah J. Converse & Amy A. Yackel Adams & Nathan J. Hostetter, 2018. "Analysis of Population Change and Movement Using Robust Design Removal Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(4), pages 463-477, December.
    6. Linda M. Haines, 2020. "Multinomial N‐mixture models for removal sampling," Biometrics, The International Biometric Society, vol. 76(2), pages 540-548, June.
    7. repec:jss:jstsof:43:i10 is not listed on IDEAS
    8. Ming Zhou & Rachel S. McCrea & Eleni Matechou & Diana J. Cole & Richard A. Griffiths, 2019. "Removal models accounting for temporary emigration," Biometrics, The International Biometric Society, vol. 75(1), pages 24-35, March.
    9. Adam Martin-Schwarze & Jarad Niemi & Philip Dixon, 2017. "Assessing the Impacts of Time-to-Detection Distribution Assumptions on Detection Probability Estimation," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 465-480, December.

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