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http://hdl.handle.net/1765/37863
isbn: 978-90-9027110-1

Complex Data Modelling Using Likelihood and H-Likelihood Methods

(Modelleren van complexe data door middel van aannemelijkheids en h-aannemelijkheids methoden)


Doctoral Thesis
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An important inference framework in statistical methods is based on the likelihood function. First we will review the likelihood theory for independent observations. Then we use correlated data likelihood modeling concepts to introduce the h-likelihood framework.


Supervisor (promotor):

Prof. Dr. E.M.E.H. Lesaffre, E.M.E.H.

The author wishes to thank:

The studies described in this thesis were financially supported by the Department of Biostatistics of Erasmus Medical Center of Erasmus University Rotterdam


Keywords


Automatically Extracted Terms
  • model
  • e ffects
  • likelihood
  • distribution
  • parameter
  • approach
  • h-likelihood
  • estimation
  • estimate
  • component
  • chapter
  • variance
  • value
  • study
  • poisson
  • dispersion
  • function
  • mixture
  • method
  • analysis


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