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The Resource In all likelihood : statistical modelling and inference using likelihood, Yudi Pawitan

In all likelihood : statistical modelling and inference using likelihood, Yudi Pawitan

Label
In all likelihood : statistical modelling and inference using likelihood
Title
In all likelihood
Title remainder
statistical modelling and inference using likelihood
Statement of responsibility
Yudi Pawitan
Creator
Subject
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorName
Pawitan, Yudi
Dewey number
519.5
Illustrations
illustrations
Index
index present
LC call number
QA276
LC item number
.P286 2001
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
Mathematical statistics
Label
In all likelihood : statistical modelling and inference using likelihood, Yudi Pawitan
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. [503]-514) and index
Contents
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
Control code
47101087
Dimensions
24 cm.
Extent
xiii, 528 p.
Isbn
9780198507659
Isbn Type
(acid-free paper)
Lccn
2001036246
Other physical details
ill.
Label
In all likelihood : statistical modelling and inference using likelihood, Yudi Pawitan
Publication
Bibliography note
Includes bibliographical references (p. [503]-514) and index
Contents
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
Control code
47101087
Dimensions
24 cm.
Extent
xiii, 528 p.
Isbn
9780198507659
Isbn Type
(acid-free paper)
Lccn
2001036246
Other physical details
ill.

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