bookJun 4, 2012Closed access
Generalized Linear Models and Extensions
Abstract
From the first edition: Introduction Origins and motivation Notational conventions Applied or theoretical? Road map PART I: FOUNDATIONS OF GENERALIZED LINEAR MODELS Generalized Linear Models Components Assumptions Exponential family Example: Using an offset in a GLM Summary GLM Estimation Algorithms Newton-Raphson Starting values for Newton-Raphson Fisher scoring Starting values for IRLS Goodness of fit Estimated variance matrices Estimation algorithms Summary Analysis of Fit Deviance Diagnostics Assessing the link function Checks for systematic departure from the model Residual analysis Model statistics PART II: CONTINUOUS RESPONSE MODELS The Gaussian Family Derivation of the GLM Gaussian family Derivation in…
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Keywords
- Mathematics
- Deviance (statistics)
- Exponential family
- Generalized linear model
- Statistics
- Binomial regression
- Quasi-likelihood
- Applied mathematics
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