In All Likelihood: Statistical Modelling and Inference Using Likelihood

Synopsis

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. Yudi Pawitan. Includes Bibliographical References (p. [503]-514) And Index.