Generalized Linear Models: Lecture Notes in Statistics, cartea 32

GLIM 85: Contents.- Introduction: GLIM and Generalized Linear Models.- GLIM4 — Directions for Development.- Simultaneous Equation Systems with Categorical Observed Variables.- The Null Expected Deviance for an Extended Class of Generalized Linear Models.- Comparing Estimated Spectral Densities Using GLIM.- Semi-Parametric Generalized Linear Models.- An Algorithm for Degree of Freedom Calculations in Sparse Complete Contingency Tables.- Generalized Additive Models; Some Applications.- On the Guha Approach to Model Search in Connection to Generalized Linear Models.- Estimation of Interobserver Variation for Ordinal Rating Scales.- Genstat 5: A General-Purpose Interactive Statistical Package, with Facilities for Generalized Linear Models.- Statistical Modelling of Data from Hierarchical Structures Using Variance Component Analysis.- Quasi-Likelihood and GLIM.- GLIM for Latent Class Analysis.- GLIM 3.77.- Nearly Linear Models Using General Link Functions.- Implementation of an Algorithm for Fitting a Class of Generalized Logistic Models.- Perturbing a Sparse Contingency Table.