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Introduction to general and generalized linear models
IntroductionExamples of types of data Motivating examples A first view on the modelsThe Likelihood PrincipleIntroduction Point estimation theory The likelihood function The score function The information matrix Alternative parameterizations of the likelihood The maximum likelihood estimate (MLE) Dis...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
CRC Press,
2011.
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| Colección: | Texts in statistical science.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | IntroductionExamples of types of data Motivating examples A first view on the modelsThe Likelihood PrincipleIntroduction Point estimation theory The likelihood function The score function The information matrix Alternative parameterizations of the likelihood The maximum likelihood estimate (MLE) Distribution of the ML estimator Generalized loss-function and deviance Quadratic approximation of the log-likelihood Likelihood ratio tests Successive testing in hypothesis chains Dealing with nuisance parameters General Linear ModelsIntroduction The multivariate normal distribution General linear mod. |
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| Descripción Física: | 1 online resource (xii, 302 p. :) ill. |
| Bibliografía: | Includes bibliographical references (p. [287]-291) and index. |
| ISBN: | 9781420091557 1420091557 9781439891148 1439891141 |