Titlebook: GLIM 82: Proceedings of the International Conference on Generalised Linear Models; Proceedings of the I Robert Gilchrist Conference proceed

TOXIC

Glim Syntax and Simultaneous Tests for Graphical Log Linear Models,odels can be computed from the deviances of the elementary graphical models. These computations are employed in a simultaneous test procedure for selecting a parsimonious model from the class of all graphical models. This procedure is illustrated on a contingency table from the sociological literature classified by four response factors.

大骂

GLIM for Preference, model and a modified Bradley-Terry model with ties and order effects. The parametrisation used in the case of ties is claimed to be more convenient than that of Fienberg. A test of linearity is also included.

HUSH

Conference proceedings 1982ralised linear models. This conference was held from 13 - 15 September 1982 at the Polytechnic of North London and marked an important stage in the development and expansion of the GLIM system. The range of the new system, tentatively named Prism, is here outlined by Bob Baker. Further sections of t

Inertia

978-0-387-90777-2Springer-Verlag New York Inc. 1982

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CRATE

Recessive

https://doi.org/10.1007/978-94-007-0686-6 are more commonly used. Mantel-Haenszel chi-squared tests provide good examples. In other cases where a large number of competing models are being entertained, score tests may also be preferable for economy in computing..We show that score tests can be computed in GLIM with the same ease as likelih

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epresented by their independence graphs they are known as graphical models. Standard GLIM model formulae are extended to give a simple representation of these models and rules are given to translate formulae between the standard and extended language. The deviances for all conditional independence m

periodontitis

COMMA

https://doi.org/10.1007/978-3-0348-5948-6actly the maximum likelihood estimators of the parameters in the linear predictor can be found by an iterative weighted least squares algorithm (Neider and Wedderburn.1972). We show how the algorithm is modified to allow for the estimation of the parameters in models fitted with parametric link func