Statistical Modelling: Proceedings of Glim 89 and the 4th International Workshop on Statistical Modelling Held in Trento, Italy, July 17-21,

ISBN-13: 9780387970974 / Angielski / Miękka / 1989 / 343 str.

Adriano Decarli; Brian J. Francis; Robert Gilchrist

Opis

This volume constitutes the Proceedings of the joint meeting of GLIM89 and the 4th International Workshop on statistical Modelling, held in Trento, Italy, from 17 to 21 July 1989. The meeting aimed to bring together researchers interested in the development and application of generalized linear modelling in GLIM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops held in Innsbruck, perugia and Vienna, and upon the two previous GLIM conferences, GLIM82 and GLIM85. The Proceedings of the latter two being available as numbers 14 and 32 in the springer Verlag series of Lecture Notes in Statistics). Much statistical modelling is carried out using GLIM, as is apparent from many of the papers in these Proceedings; however, the Programme Committee were also keen on encouraging papers which discussed more general modelling techniques. Thus about a third of the papers in this volume are outside the GLIM framework. The Programme Committee specifically requested non-theoretical papers in addition to considering theoretical contributions. Thus there are papers in a wide range of practical areas, such as radio spectral occupancy, comparison of birthweights, intervals between births, accidents of railway workers, genetics, demography, medical trials, the social sciences and insurance. A wide range of theoretical developments are discussed, for example, overdispersion, non-exponential family modelling, novel approaches to analysing contingency tables, random effects models, Kalman Filtering, model checking and extensions of Wedderburn's theoretical underpinning of GLMs.

Spis treści

Papers Presented in the Glim Working Party Session.- Functional programming for GLMs.- GLIM 4 - Structure and development.- Generalised linear models and some extensions: Geometry and algorithms.- The Glimpse System.- The optional graphics command extension to GLIM 3.77.- Invited and Contributed Papers.- SABRE: software for the analysis of binary recurrent events.- Score tests in overdispersed GLM’s.- A few problems with application of the Kalman-Filter.- Bootstrap goodness of link testing in generalized linear models.- Estimation and tests in a quasi - likelihood model with a non-constant dispersion parameter.- Fitting non-exponential family nonlinear models in GLIM by using the offset facility.- Graphical modelling using MIM.- Beta-geometric modelling of birth intervals using GLIM.- Polytomous logistic regression; methods and application.- Models for nested binary and ordinal data.- Extended Kalman-Filtering for non-Normal longitudinal data.- Modelling transition probabilities in the analysis of aggregated data.- Generalisations of the Goodman association model for the analysis of multi-dimensional contingency tables.- The Rasch model, some extensions and their relation to the class of Generalized Linear Models.- Threshold models for ordinal data involving stratification.- Analysis of symmetric cross-classifications.- Markov modelling for extra-binomial variation in HF (radio) spectral occupancy.- Ill-conditioned information matrices and the Generalized Linear Model: an asympotically biased estimation approach.- Regression models for repeated event data: an application to accident frequencies of railway workers.- The norm-p estimation of location, scale and simple linear regression parameters.- Computing confidence intervals in GLIM.- Log-linear models in genetics.- Modelling run-off data in general insurance.- Summarizing the results of fitting generalized linear models to data from designed experiments.- Application of truncated and mixture distributions to comparisons of birthweight.- Non symmetrical logarithmic analysis for contingency tables.- GLM’s and coefficient ratios.- Estimation of break point parameters using GLIM.- Latent budget analysis.- The compactification of Generalized linear models.- Uses of power transformation in generalized linear modelling.- MIVA: An alternative method to generalized linear models.