Applied

Statistical Modelling

Name: Statistical Modelling
Brand: Springer
SKU: 9780387970974
Price: 11351.00 INR
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ISBN: 9780387970974

STATISTICAL MODELLING SOFTCOVE

Contributor(s): Decarli, Adriano Editor , Francis, Brian J. Editor , Gilchrist, Robert Editor Format: Paperback

Paperback · ISBN 9780387970974

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Key Specifications

ISBN	9780387970974
Subtitle	STATISTICAL MODELLING SOFTCOVE
Publisher	Springer
Publication date	July 1989
Language	English
MRP	£89.99 GBP
Page count	356
Item weight	125 g

This volume constitutes the Proceedings of the joint meeting of GLIM89 and the 4th International Workshop on statistical Modelling, held in Trento, Italy, from 17 to 21 July 1989. The meeting aimed to bring together researchers interested in the development and application of generalized linear modelling in GLIM and those interested in statistical modelling in its widest sense. This joint meeting built upon the success of previous workshops held in Innsbruck, perugia and Vienna, and upon the two previous GLIM conferences, GLIM82 and GLIM85. The Proceedings of the latter two being available as numbers 14 and 32 in the springer Verlag series of Lecture Notes in Statistics). Much statistical modelling is carried out using GLIM, as is apparent from many of the papers in these Proceedings; however, the Programme Committee were also keen on encouraging papers which discussed more general modelling techniques. Thus about a third of the papers in this volume are outside the GLIM framework. The Programme Committee specifically requested non-theoretical papers in addition to considering theoretical contributions. Thus there are papers in a wide range of practical areas, such as radio spectral occupancy, comparison of birthweights, intervals between births, accidents of railway workers, genetics, demography, medical trials, the social sciences and insurance. A wide range of theoretical developments are discussed, for example, overdispersion, non-exponential family modelling, novel approaches to analysing contingency tables, random effects models, Kalman Filtering, model checking and extensions of Wedderburn's theoretical underpinning of GLMs.

Statistical Modelling

Key Specifications

Decarli, Adriano Editor

Francis, Brian J. Editor

Gilchrist, Robert Editor

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