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This is a splendid book with its contents thoroughly covering all likelihood ... Statements are firm, and explanations are full and clear. This book may be used as a reference work. It is strongly recommended as an academic library volume, and individually for statistics lecturers, advanced students, and researchers.

• 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

N/A

This is a splendid book with its contents thoroughly covering all likelihood ... Statements are firm, and explanations are full and clear. This book may be used as a reference work. It is strongly recommended as an academic library volume, and individually for statistics lecturers, advanced students, and researchers.

• 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