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Analysis of an Extended Batch Marking Experiment Using Estimating Equations

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Abstract

Estimating equations give a flexible method of inference when the likelihood is either intractable or is not fully specified. Here we consider a batch marking experiment where the full likelihood is complex and without resorting to devices such as the computationally intensive expectation-maximization (EM) algorithm is intractable. However, a pseudo-likelihood that yields tractable estimating equations may be easily constructed and its effectiveness is demonstrated via simulation studies. The methodology was applied to study the abundance of Oriental weatherloach in a waterbody in South-Eastern Australia. The programs and data set used in this article are available in the online supplements.

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Authors and Affiliations

  1. The University of Melbourne, Melbourne, Victoria, Australia

    Richard Huggins & Joanne Kearns

  2. RMIT University, Melbourne, Victoria, Australia

    Yan Wang

Authors
  1. Richard Huggins
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  2. Yan Wang
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  3. Joanne Kearns
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Corresponding author

Correspondence to Yan Wang.

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Huggins, R., Wang, Y. & Kearns, J. Analysis of an Extended Batch Marking Experiment Using Estimating Equations. JABES 15, 279–289 (2010). https://doi.org/10.1007/s13253-010-0018-6

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  • DOI: https://doi.org/10.1007/s13253-010-0018-6

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