图书简介 馆藏图书馆

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

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