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Who captures the marks for the Petersen estimator?

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  • I. B. J. Goudie
  • M. Goudie

Abstract

Summary. We examine the claim that the well‐known Petersen estimator which is used in population size estimation was not in fact used by the scientist after whom it is named. We show how, in the early years of the last century, the modern use of the Petersen estimator grew from that of the fishing coefficient. Contending with the somewhat conflicting claims that were made at the time, and what by modern standards is poor referencing of sources, we investigate where the credit lies for these concepts, and the principles and protocols which support them. We assess also how far attributions of credit were affected by practical considerations, and the history of the estimator by the nature of the problems being pursued. We identify scientists whose early work on marking and estimating fish populations deserves more credit than it has received.

Suggested Citation

  • I. B. J. Goudie & M. Goudie, 2007. "Who captures the marks for the Petersen estimator?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 825-839, July.
  • Handle: RePEc:bla:jorssa:v:170:y:2007:i:3:p:825-839
    DOI: 10.1111/j.1467-985X.2007.00479.x
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    File URL: https://doi.org/10.1111/j.1467-985X.2007.00479.x
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    References listed on IDEAS

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    1. Russell B. Millar & Renate Meyer, 2000. "Non‐linear state space modelling of fisheries biomass dynamics by using Metropolis‐Hastings within‐Gibbs sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(3), pages 327-342.
    2. James Brown & Owen Abbott & Ian Diamond, 2006. "Dependence in the 2001 one‐number census project," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 883-902, October.
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    Cited by:

    1. Edgar Salgado Chavez, 2018. "Growing Up in a War: The Shaping of Trust and Identity After Conflict in Peru," Working Paper Series 0618, Department of Economics, University of Sussex Business School.
    2. Salgado Chavez, Edgar, 2017. "Essays on beliefs, democracy and local labor markets: an empirical examination for Peru," Economics PhD Theses 0717, Department of Economics, University of Sussex Business School.
    3. Chang Xuan Mao & Ruochen Huang & Sijia Zhang, 2017. "Petersen estimator, Chapman adjustment, list effects, and heterogeneity," Biometrics, The International Biometric Society, vol. 73(1), pages 167-173, March.

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