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E-raamat: Advances in GLIM and Statistical Modelling: Proceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13-17 July 1992

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  • Sari: Lecture Notes in Statistics 78
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461229520
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Statistics 78
  • Ilmumisaeg: 06-Dec-2012
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9781461229520

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This volume presents the published Proceedings of the joint meeting of GUM92 and the 7th International Workshop on Statistical Modelling, held in Munich, Germany from 13 to 17 July 1992. The meeting aimed to bring together researchers interested in the development and applications of generalized linear modelling in GUM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops and GUM conferences. Previous GUM conferences were held in London and Lancaster, and a joint GUM Conference/4th Modelling Workshop was held in Trento. (The Proceedings of previous GUM conferences/Statistical Modelling Workshops are available as numbers 14 , 32 and 57 of the Springer Verlag series of Lecture Notes in Statistics). Workshops have been organized in Innsbruck, Perugia, Vienna, Toulouse and Utrecht. (Proceedings of the Toulouse Workshop appear as numbers 3 and 4 of volume 13 of the journal Computational Statistics and Data Analysis). Much statistical modelling is carried out using GUM, as is apparent from many of the papers in these Proceedings. Thus the Programme Committee were also keen on encouraging papers which addressed problems which are not only of practical importance but which are also relevant to GUM or other software development. The Programme Committee requested both theoretical and applied papers. Thus there are papers in a wide range of practical areas, such as ecology, breast cancer remission and diabetes mortality, banking and insurance, quality control, social mobility, organizational behaviour.
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.