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Models for Estimating Abundance from Repeated Counts of an Open Metapopulation

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  • D. Dail
  • L. Madsen

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  • D. Dail & L. Madsen, 2011. "Models for Estimating Abundance from Repeated Counts of an Open Metapopulation," Biometrics, The International Biometric Society, vol. 67(2), pages 577-587, June.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:2:p:577-587
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01465.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. Whitlock, Steven L. & Womble, Jamie N. & Peterson, James T., 2020. "Modelling pinniped abundance and distribution by combining counts at terrestrial sites and in-water sightings," Ecological Modelling, Elsevier, vol. 420(C).
    2. D. Dail & L. Madsen, 2013. "Estimating Open Population Site Occupancy from Presence–Absence Data Lacking the Robust Design," Biometrics, The International Biometric Society, vol. 69(1), pages 146-156, March.
    3. Perry J. Williams & Cody Schroeder & Pat Jackson, 2020. "Estimating Reproduction and Survival of Unmarked Juveniles Using Aerial Images and Marked Adults," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(2), pages 133-147, June.
    4. Rafael A. Moral & John Hinde & Clarice G. B. Demétrio & Carolina Reigada & Wesley A. C. Godoy, 2018. "Models for Jointly Estimating Abundances of Two Unmarked Site-Associated Species Subject to Imperfect Detection," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(1), pages 20-38, March.
    5. Xiaoli Fan & Miguel I. Gómez & Shady S. Atallah & Jon M. Conrad, 2020. "A Bayesian State‐Space Approach for Invasive Species Management: The Case of Spotted Wing Drosophila," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1227-1244, August.
    6. Duarte, Adam & Adams, Michael J. & Peterson, James T., 2018. "Fitting N-mixture models to count data with unmodeled heterogeneity: Bias, diagnostics, and alternative approaches," Ecological Modelling, Elsevier, vol. 374(C), pages 51-59.
    7. Emily B. Dennis & Byron J.T. Morgan & Martin S. Ridout, 2015. "Computational aspects of N-mixture models," Biometrics, The International Biometric Society, vol. 71(1), pages 237-246, March.
    8. repec:jss:jstsof:43:i10 is not listed on IDEAS
    9. Zhao, Qing & Royle, J. Andrew, 2019. "Dynamic N-mixture models with temporal variability in detection probability," Ecological Modelling, Elsevier, vol. 393(C), pages 20-24.
    10. Matthew R. P. Parker & Laura L. E. Cowen & Jiguo Cao & Lloyd T. Elliott, 2023. "Computational Efficiency and Precision for Replicated-Count and Batch-Marked Hidden Population Models," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 43-58, March.
    11. Laura L. E. Cowen & Panagiotis Besbeas & Byron J. T. Morgan & Carl J. Schwarz, 2017. "Hidden Markov models for extended batch data," Biometrics, The International Biometric Society, vol. 73(4), pages 1321-1331, December.

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