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Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae

  • A.F. Zuur
  • L.B. Gende
  • E.N. Ieno
  • N.J. Fernández
  • M.J. Eguaras
  • R. Fritz
  • N.J. Walker
  • A.A. Saveliev
  • G.M. Smith
Chapter
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.

Notes

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.

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • A.F. Zuur
    • 1
  • L.B. Gende
    • 2
  • E.N. Ieno
    • 1
  • N.J. Fernández
    • 2
  • M.J. Eguaras
    • 2
  • R. Fritz
    • 3
  • N.J. Walker
    • 4
  • A.A. Saveliev
    • 5
  • G.M. Smith
    • 6
  1. 1.Highland Statistics LTD.NewburghUK
  2. 2.Laboratorio de Artrópodos, Departamento de BiologíaUniversidad Nacional de Mar del PlataFunesArgentina
  3. 3.Laboratorio de Bromatología, Departamento de QuímicaUniversidad Nacional de Mar del PlataFunesArgentina
  4. 4.Woodchester Park CSL, Tinkley Lane, NympsfieldGloucesterUK
  5. 5.Faculty of EcologyKazan State UniversityKazanRussia
  6. 6.School of Science and EnvironmentBath Spa UniversityBathUK

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