04391nmm a2200385 u 4500001001200000003002700012005001700039007002400056008004100080020001800121100003100139245027100170250001700441260004800458300003000506505047800536505072601014505018201740653005301922653004801975653002602023653002202049653002502071653001802096700002902114700003202143700002802175710003402203041001902237989003802256490003202294856007202326082001002398520159702408EB000619305EBX0100000000000000047238700000000000000.0cr|||||||||||||||||||||140122 ||| eng a97814612295201 aFahrmeir, Ludwige[editor]00aAdvances in GLIM and Statistical ModellinghElektronische RessourcebProceedings of the GLIM92 Conference and the 7th International Workshop on Statistical Modelling, Munich, 13–17 July 1992cedited by Ludwig Fahrmeir, Brian Francis, Robert Gilchrist, Gerhard Tutz a1st ed. 1992 aNew York, NYbSpringer New Yorkc1992, 1992 aX, 225 pbonline resource0 aA 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 -- 0 aA 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 -- The Construction of Life and Other Actuarial Graduated Tables using GLIM -- Age-Period-Cohort Models: A Comparison of Methods -- 0 aA Gentle Introduction -- Robust Poisson Regression -- Parametric and Seminonparametric Analysis of Nonlinear Time Series -- Nonparametric Approaches to Generalized Linear Models aComputational Mathematics and Numerical Analysis aProbability Theory and Stochastic Processes aMathematical Software aComputer software aComputer mathematics aProbabilities1 aFrancis, Briane[editor]1 aGilchrist, Roberte[editor]1 aTutz, Gerharde[editor]2 aSpringerLink (Online service)07aeng2ISO 639-2 bSBAaSpringer Book Archives -20040 aLecture Notes in Statistics uhttps://doi.org/10.1007/978-1-4612-2952-0?nosfx=yxVerlag3Volltext0 a519.2 aThis 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