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Book Categories |
1 | Introduction | 1 |
2 | Elements of likelihood inference | 21 |
3 | More properties of the likelihood | 53 |
4 | Basic models and simple applications | 73 |
5 | Frequentist properties | 117 |
6 | Modelling relationships: regression models | 149 |
7 | Evidence and the likelihood principle | 193 |
8 | Score function and Fisher information | 213 |
9 | Large-sample results | 231 |
10 | Dealing with nuisance parameters | 273 |
11 | Complex data structure | 297 |
12 | EM Algorithm | 341 |
13 | Robustness of likelihood specification | 365 |
14 | Estimating equation and quasi-likelihood | 385 |
15 | Empirical likelihood | 409 |
16 | Likelihood of random parameters | 425 |
17 | Random and mixed effects models | 435 |
18 | Nonparametric smoothing | 473 |
Bibliography | 503 | |
Index | 515 |
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Add In All Likelihood: Statistical Modelling and Inference Using Likelihood, This text concentrates on what can be achieved using the likelihood/Fisherian methods of taking into account uncertainty when studying a statistical problem. It takes the concept of the likelihood as the best method for unifying the demands of statistical, In All Likelihood: Statistical Modelling and Inference Using Likelihood to your collection on WonderClub |