Analysis of an Extended Batch Marking Experiment Using Estimating Equations |
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Authors: | Richard Huggins Yan Wang Joanne Kearns |
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Institution: | (1) The University of Melbourne, Melbourne, Victoria, Australia;(2) RMIT University, Melbourne, Victoria, Australia; |
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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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Keywords: | |
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