Statistical Modelling: Proceedings of GLIM 89 and the 4th International Workshop on Statistical Modelling held in Trento, Italy, July 17–21, 1989: Lecture Notes in Statistics, cartea 57
Editat de Adriano Decarli, Brian J. Francis, Robert Gilchrist, Gilg U.H. Seeberen Limba Engleză Paperback – 24 iul 1989
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Specificații
ISBN-13: 9780387970974
ISBN-10: 0387970975
Pagini: 343
Ilustrații: IX, 343 p. 1 illus.
Dimensiuni: 170 x 242 x 19 mm
Greutate: 0.57 kg
Ediția:Softcover reprint of the original 1st ed. 1989
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
ISBN-10: 0387970975
Pagini: 343
Ilustrații: IX, 343 p. 1 illus.
Dimensiuni: 170 x 242 x 19 mm
Greutate: 0.57 kg
Ediția:Softcover reprint of the original 1st ed. 1989
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.