Screen LibraryMaximum likelihood estimation and inference with examples in R, SAS, and ADMB /
"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the mos...
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| Literature type: | Electronic eBook |
| Language: | English |
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9780470094846 |
| Summary: |
"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"-- "This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"-- |
| Carrier Form: | p. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780470094846 (electronic bk.) 0470094842 (electronic bk.) |
| Index Number: | QA276 |
| CLC: | O211.67 |
| Contents: | Front Matter -- Preliminaries. A Taste of Likelihood -- Essential Concepts and Iid Examples -- Pragmatics. Hypothesis Tests and Confidence Intervals or Regions -- What you Really need to Know -- Maximizing the Likelihood -- Some Widely Used Applications of Maximum Likelihood -- Generalized Linear Models and Extensions -- Quasi-Likelihood and Generalized Estimating Equations -- ML Inference in the Presence of Incidental Parameters -- Latent Variable Models -- Theoretical Foundations. Cram̌r-Rao Inequality and Fisher Information -- Asymptotic Theory and Approximate Normality -- Tools of the T |