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Mixed effects models and extensions in ecology with R pp 447–458Cite as

Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae

Part of the Statistics for Biology and Health book series (SBH)

Abstract

In this chapter, we apply mixed modelling to honeybee data. The data are considered nested because multiple observations were taken from the same hive. A total of 24 hives were sampled.

Keywords

  • Likelihood Ratio Test
  • Linear Regression Model
  • Mixed Effect Modelling
  • Honey Sample
  • Main Term

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Acknowledgments

We would like to thank Fernando Rodriguez, beekeeper from Buenos Aires Province and Sergio Ruffinengo for his collaboration in this project and also MalenaSabatino for the honey bee photography.

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Authors and Affiliations

  1. Highland Statistics LTD., 6 Laverock Road, Newburgh, AB41 6FN, UK

    A.F. Zuur & E.N. Ieno

  2. Laboratorio de Artrópodos, Departamento de Biología, Universidad Nacional de Mar del Plata, (7600) Mar del Plata, Funes, 3350, Argentina

    L.B. Gende, N.J. Fernández & M.J. Eguaras

  3. Laboratorio de Bromatología, Departamento de Química, Universidad Nacional de Mar del Plata, (7600) Mar del Plata, Funes, 3350, segundo piso, Argentina

    R. Fritz

  4. Woodchester Park CSL, Tinkley Lane, Nympsfield, Gloucester, GL10 3UJ, UK

    N.J. Walker

  5. Faculty of Ecology, Kazan State University, 18 Kremlevskaja Street, Kazan, 420008, Russia

    A.A. Saveliev

  6. School of Science and Environment, Bath Spa University, Newton Park, Newton St Loe, Bath, BA2 9BN, UK

    G.M. Smith

Authors
  1. A.F. Zuur
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  2. L.B. Gende
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  3. E.N. Ieno
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  4. N.J. Fernández
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  5. M.J. Eguaras
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  6. R. Fritz
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  7. N.J. Walker
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  8. A.A. Saveliev
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  9. G.M. Smith
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Zuur, A. et al. (2009). Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae. In: Mixed effects models and extensions in ecology with R. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87458-6_19

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