IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v74y2018i1p280-288.html
   My bibliography  Save this article

Estimating the size of an open population using sparse capture–recapture data

Author

Listed:
  • Richard Huggins
  • Jakub Stoklosa
  • Cameron Roach
  • Paul Yip

Abstract

Sparse capture–recapture data from open populations are difficult to analyze using currently available frequentist statistical methods. However, in closed capture–recapture experiments, the Chao sparse estimator (Chao, 1989, Biometrics 45, 427–438) may be used to estimate population sizes when there are few recaptures. Here, we extend the Chao (1989) closed population size estimator to the open population setting by using linear regression and extrapolation techniques. We conduct a small simulation study and apply the models to several sparse capture–recapture data sets.

Suggested Citation

  • Richard Huggins & Jakub Stoklosa & Cameron Roach & Paul Yip, 2018. "Estimating the size of an open population using sparse capture–recapture data," Biometrics, The International Biometric Society, vol. 74(1), pages 280-288, March.
    • Handle: RePEc:bla:biomet:v:74:y:2018:i:1:p:280-288
    DOI: 10.1111/biom.12718
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/biom.12718
    Download Restriction: no
    File URL: https://libkey.io/10.1111/biom.12718?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Richard M. Huggins & Paul S. F. Yip, 1999. "Estimation of the Size of an Open Population from Capture-Recapture Data Using Weighted Martingale Methods," Biometrics, The International Biometric Society, vol. 55(2), pages 387-395, June.
    2. Stoklosa, Jakub & Huang, Yih-Huei & Furlan, Elise & Hwang, Wen-Han, 2016. "On quadratic logistic regression models when predictor variables are subject to measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 109-121.
    3. William A. Link & Richard J. Barker, 2005. "Modeling Association among Demographic Parameters in Analysis of Open Population Capture–Recapture Data," Biometrics, The International Biometric Society, vol. 61(1), pages 46-54, March.
    4. William L. Kendall & Rhema Bjorkland, 2001. "Using Open Robust Design Models to Estimate Temporary Emigration from Capture—Recapture Data," Biometrics, The International Biometric Society, vol. 57(4), pages 1113-1122, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Haoqi & Lin, Huazhen & Yip, Paul S.F. & Li, Yuan, 2019. "Estimating population size of heterogeneous populations with large data sets and a large number of parameters," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 34-44.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Murray G. Efford & Matthew R. Schofield, 2020. "A spatial open‐population capture‐recapture model," Biometrics, The International Biometric Society, vol. 76(2), pages 392-402, June.
    2. Gimenez, Olivier & Lebreton, Jean-Dominique & Gaillard, Jean-Michel & Choquet, Rémi & Pradel, Roger, 2012. "Estimating demographic parameters using hidden process dynamic models," Theoretical Population Biology, Elsevier, vol. 82(4), pages 307-316.
    3. Dennis, Emily B. & Kéry, Marc & Morgan, Byron J.T. & Coray, Armin & Schaub, Michael & Baur, Bruno, 2021. "Integrated modelling of insect population dynamics at two temporal scales," Ecological Modelling, Elsevier, vol. 441(C).
    4. R. B. O'Hara & S. Lampila & M. Orell, 2009. "Estimation of Rates of Births, Deaths, and Immigration from Mark–Recapture Data," Biometrics, The International Biometric Society, vol. 65(1), pages 275-281, March.
    5. Robert M. Dorazio, 2020. "Objective prior distributions for Jolly‐Seber models of zero‐augmented data," Biometrics, The International Biometric Society, vol. 76(4), pages 1285-1296, December.
    6. Joseph B Pfaller & Karen A Bjorndal & Milani Chaloupka & Kristina L Williams & Michael G Frick & Alan B Bolten, 2013. "Accounting for Imperfect Detection Is Critical for Inferring Marine Turtle Nesting Population Trends," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-5, April.
    7. Richard Huggins & Wen‐Han Hwang, 2007. "Non‐parametric estimation of population size from capture–recapture data when the capture probability depends on a covariate," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 56(4), pages 429-443, August.
    8. Laura Cowen & Carl J. Schwarz, 2006. "The Jolly–Seber Model with Tag Loss," Biometrics, The International Biometric Society, vol. 62(3), pages 699-705, September.
    9. Manuel Wiesenfarth & Carlos Matías Hisgen & Thomas Kneib & Carmen Cadarso-Suarez, 2014. "Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 468-482, July.
    10. Roger Pradel & Rémi Choquet & Arnaud Béchet, 2012. "Breeding Experience Might Be a Major Determinant of Breeding Probability in Long-Lived Species: The Case of the Greater Flamingo," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    11. Richard Huggins, 2006. "Semiparametric Estimation of Animal Abundance Using Capture–Recapture Data from Open Populations," Biometrics, The International Biometric Society, vol. 62(3), pages 684-690, September.
    12. Shirley Pledger & Edward Baker & Kim Scribner, 2013. "Breeding Return Times and Abundance in Capture–Recapture Models," Biometrics, The International Biometric Society, vol. 69(4), pages 991-1001, December.
    13. Li, Haoqi & Lin, Huazhen & Yip, Paul S.F. & Li, Yuan, 2019. "Estimating population size of heterogeneous populations with large data sets and a large number of parameters," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 34-44.
    14. Lanier, Wendy E. & Bailey, Larissa L. & Muths, Erin, 2016. "Integrating biology, field logistics, and simulations to optimize parameter estimation for imperiled species," Ecological Modelling, Elsevier, vol. 335(C), pages 16-23.
    15. Hsin-Chou Yang & Richard Huggins & Austina S. S. Clark, 2003. "Estimation of the Size of an Open Population Using Local Estimating Equations II: A Partially Parametric Approach," Biometrics, The International Biometric Society, vol. 59(2), pages 365-374, June.
    16. Simon J Bonner & Jason Holmberg, 2013. "Mark-Recapture with Multiple, Non-Invasive Marks," Biometrics, The International Biometric Society, vol. 69(3), pages 766-775, September.
    17. Qian, Guoqi & Li, Ning & Huggins, Richard, 2011. "Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 655-666, January.
    18. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:74:y:2018:i:1:p:280-288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.