Advances in GLIM and Statistical Modelling

Papers Presented in the GLIM Working Party Session.- The New Facilities of GLIM4.- Model Fitting Applications in GLIM4.- Medical Applications in GLIM4.- Invited and Contributed Papers.- Residuals and Influential Points in Mean Structures Estimated with Pseudo Maximum Likelihood Methods.- Fitting the Continuation Ratio Model using GLIM4.- A New Approach for the Analysis of Multi-Episode Duration Data.- Approaches to Estimation with Errors in Predictors.- The Frontit Model: A Stochastic Frontier for Dichotomic Random Variables.- Investigation of an Ordered Logistic Model for Consumer Debt.- On Link Selection in Generalized Linear Models.- Estimation of Heterogeneity — A GLM-Approach.- Generalized Linear Models with P-splines.- Modelling Excess Mortality of Diabetics: Generalised Linear Models and Dynamic Estimation.- Smoothing in Dynamic Generalized Linear Models by Gibbs Sampling.- Bias Reduction, the Jeffreys Prior and GLIM.- Approximate Predictive Integrals for Dynamic Generalized Linear Models.- Symmetric Interaction Models to Study Innovation Processes in the Software Industry.- Ordinal Time Series Models with Application to Forest Damage Data.- Choosing Between Non-nested Models: A Simulation Approach.- A Class of Models for the Simultaneous Analysis of Square Contingency Tables.- Estimation of the Parameters of the Bilinear Association Model using the Gibbs Sampler.- Marginal Modelling of Correlated Ordinal Data using an n-way Plackett Distribution.- The Evaluation of Bank Accounts using Optimized Moving Local Regression.- Common Factor Model: Stochastic Model, Data Analysis Technique Or What?.- The Design of Experiments to Discriminate Between Two Rival Generalized Linear Models.- A Changepoint Model for Infant Survival in the British Births Survey.- TheConstruction of Life and Other Actuarial Graduated Tables using GLIM.- Age-Period-Cohort Models: A Comparison of Methods.- Estimation of a First Order Autoregressive Process with Poisson Marginals for Count Data.- Saddlepoint Approximations for Generalized Linear Models: A Gentle Introduction.- Robust Poisson Regression.- Parametric and Seminonparametric Analysis of Nonlinear Time Series.- Nonparametric Approaches to Generalized Linear Models.