In All Likelihood
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In All Likelihood
Statistical Modelling and Inference Using Likelihood
Pawitan, Yudi
Oxford University Press
03/2026
576
Dura
Inglês
9780198950929
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1: Introduction
2: Elements of likelihood in inference
3: More properties of 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 structures
12: EM Algorithm
13: Robustness of likelihood specification
14: Estimating equations and quasi-likelihood
15: Empirical likelihood
16: Likelihood of random parameters
17: Random and mixed effects models
18: Nonparametric smoothing
Bibliography
Index
2: Elements of likelihood in inference
3: More properties of 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 structures
12: EM Algorithm
13: Robustness of likelihood specification
14: Estimating equations and quasi-likelihood
15: Empirical likelihood
16: Likelihood of random parameters
17: Random and mixed effects models
18: Nonparametric smoothing
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
1: Introduction
2: Elements of likelihood in inference
3: More properties of 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 structures
12: EM Algorithm
13: Robustness of likelihood specification
14: Estimating equations and quasi-likelihood
15: Empirical likelihood
16: Likelihood of random parameters
17: Random and mixed effects models
18: Nonparametric smoothing
Bibliography
Index
2: Elements of likelihood in inference
3: More properties of 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 structures
12: EM Algorithm
13: Robustness of likelihood specification
14: Estimating equations and quasi-likelihood
15: Empirical likelihood
16: Likelihood of random parameters
17: Random and mixed effects models
18: Nonparametric smoothing
Bibliography
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
