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Generalized Linear Models - Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16-19, 1985 (Paperback, Softcover reprint of the original 1st ed. 1985)
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Generalized Linear Models - Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16-19, 1985 (Paperback, Softcover reprint of the original 1st ed. 1985)
Series: Lecture Notes in Statistics, 32
Expected to ship within 10 - 15 working days
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This volume consists of the published proceedings of the GLIM 95
Conference, held at Lancaster University, UK, from 16-19 September
1995. This is the second of such proceedings, the first of which
was published as No 14 of the Springer-Verlag Lecture Notes in
Statistics (Gilchrist, ed,1992). Since the 1992 conference there
has been a modest update of the GLIM system, called GLIM 3.77. This
incorporates some minor but pleasant enhancements and these are
outlined in these proceedings by payne and Webb. With the
completion of GLIM 3.77, future developments of the GLIM system are
again under active review. Aitkin surveys possible directions for
GLIM. one sOlMlWhat different avenue for analysing generalized
linear models is provided by the GENSTAT system; Lane and payne
discuss the new interactive facilities p ided by version 5 of
GENSTAT. On the theory Side, NeIder extends the concept and use of
quasi-likelihood, giving useful forms of variance function and a
method of introducing a random element into the linear predictor.
Longford discusses one approach to the analysis of clustered
observations (subjects within groups). Green and Yandell introduce
'semi-parametric modelling', allowing a compromise between
parametriC and non-parametriC modelling. They modify the linear
predictor by the addition of a ( smooth) curve, and estimate
parameters by maximising a penalised log-likelihood. Hastie and
Tibshirani introduce generalized additive models, introducing a
linear predictor of the form 11 = (X + Efj(xj), with the fj
estimated from the data by a weighted average of neighbouring
observations.
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