IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v36y2020i1p25-48n2.html
   My bibliography  Save this article

Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study

Author

Listed:
  • Chatterjee Kiranmoy

    (Department of Statistics, Bidhannagar College, Salt Lake City, Kolkata, 700064, India.)

  • Mukherjee Diganta

    (Sampling and Official Statistics Unit, Indian Statistical Institute, Kolkata, 700108, India.)

Abstract

With the possibility of dependence between the sources in a capture-recapture type experiment, identification of the direction of such dependence in dual system of data collection is vital. This has a wide range of applications, including in the domains of public health, official statistics and social sciences. Owing to the insufficiency of data for analyzing a behavioral dependence model in dual system, our contribution lies in the construction of several strategies that can identify the direction of underlying dependence between the two lists in the dual system, that is, whether the two lists are positively or negatively dependent. Our proposed classification strategies would be quite appealing for improving the inference as evident from recent literature. Simulation studies are carried out to explore the comparative performance of the proposed strategies. Finally, applications on three real data sets from various fields are illustrated.

Suggested Citation

  • Chatterjee Kiranmoy & Mukherjee Diganta, 2020. "Identifying the Direction of Behavioral Dependence in Two-Sample Capture-Recapture Study," Journal of Official Statistics, Sciendo, vol. 36(1), pages 25-48, March.
    • Handle: RePEc:vrs:offsta:v:36:y:2020:i:1:p:25-48:n:2
    DOI: 10.2478/jos-2020-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jos-2020-0002
    Download Restriction: no
    File URL: https://libkey.io/10.2478/jos-2020-0002?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. Anne Chao & Wenten Chu & Chiu-Hsieh Hsu, 2000. "Capture–Recapture When Time and Behavioral Response Affect Capture Probabilities," Biometrics, The International Biometric Society, vol. 56(2), pages 427-433, June.
    2. Sarah Brittain & Dankmar Böhning, 2009. "Estimators in capture–recapture studies with two sources," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(1), pages 23-47, March.
    Full references (including those not matched with items on IDEAS)

    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. Jason M. Sutherland & Carl James Schwarz & Louis-Paul Rivest, 2007. "Multilist Population Estimation with Incomplete and Partial Stratification," Biometrics, The International Biometric Society, vol. 63(3), pages 910-916, September.
    2. Danilo Fegatelli & Luca Tardella, 2013. "Improved inference on capture recapture models with behavioural effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(1), pages 45-66, March.
    3. Pamela Barbadoro & Aurora Luciani & Matteo Ciotti & Marcello Mario D’Errico & on behalf of the AFP Working Collaborative Group, 2020. "Two-Source Capture-Recapture Method to Estimate the Incidence of Acute Flaccid Paralysis in the Marches Region (Italy)," IJERPH, MDPI, vol. 17(24), pages 1-8, December.
    4. Yang Liu & Yukun Liu & Yan Fan & Han Geng, 2018. "Likelihood ratio confidence interval for the abundance under binomial detectability models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(5), pages 549-568, July.
    5. Danilo Alunni Fegatelli & Luca Tardella, 2016. "Flexible behavioral capture–recapture modeling," Biometrics, The International Biometric Society, vol. 72(1), pages 125-135, March.
    6. Hsin-Chou Yang & Anne Chao, 2005. "Modeling Animals' Behavioral Response by Markov Chain Models for Capture–Recapture Experiments," Biometrics, The International Biometric Society, vol. 61(4), pages 1010-1017, December.
    7. Matthew R. Schofield & Richard J. Barker & William A. Link & Heloise Pavanato, 2023. "Estimating population size: The importance of model and estimator choice," Biometrics, The International Biometric Society, vol. 79(4), pages 3803-3817, December.

    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:vrs:offsta:v:36:y:2020:i:1:p:25-48:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.