In all likelihood : statistical modelling and inference using likelihood

Clicks: 3
ID: 297352
2001
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Abstract
1. Introduction 2. Elements of likelihood inference 3. More properties of the likelihood 4. Basic models and simple applications 5. Frequentist properties 6. Modelling relationships: regression models 7. Evidence and the likelihood principle 8. Score function and Fisher information 9. Large Sample Results 10. Dealing with nuisance parameters 11. Complex data structure 12. EM Algorithm 13. Robustness of likelihood specification 14. Estimating equation and quasi-likelihood 15. Empirical likelihood 16. Likelihood of random parameters 17. Random and mixed effects models 18. Nonparametric smoothing
Reference Key
openalex_W1490229695 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yudi Pawitan
Journal Oxford University Press eBooks
Year 2001
DOI
DOI not found
URL
http://ci.nii.ac.jp/ncid/BA54018998
Keywords Keywords not found

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