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

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发表于 2025-3-21 18:05:59 | 显示全部楼层 |阅读模式
书目名称GLIM 82: Proceedings of the International Conference on Generalised Linear Models
副标题Proceedings of the I
编辑Robert Gilchrist
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: GLIM 82: Proceedings of the International Conference on Generalised Linear Models; Proceedings of the I Robert Gilchrist Conference proceed
描述This volume of Lecture Notes in Statistics consists of the published proceedings of the first international conference to be held on the topic of generalised 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 the volume are devoted to more detailed descriptions of the new facilities, including information on the two different numerical methods now available. Most of the data analyses in this volume are carried out using the GLIM system but this is, of course, not necessary. There are other ways of analysing generalised linear models and Peter Green here discusses the many attractive features of APL, including its ability to analyse generalised linear models. Later sections of the volume cover other invited and contributed papers on the theory and application of generalised linear models. Included amongst these is a paper by Murray Aitkin, proposing a unified approach to statistical modelling through direct likelihood inference, and a paper by Dar
出版日期Conference proceedings 1982
关键词Random variable; likelihood; modeling; statistics
版次1
doihttps://doi.org/10.1007/978-1-4612-5771-4
isbn_softcover978-0-387-90777-2
isbn_ebook978-1-4612-5771-4Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York Inc. 1982
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Score Tests in GLIM with Applications, 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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Glim Syntax and Simultaneous Tests for Graphical Log Linear Models,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
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Compound Poisson Regression Models,e factors, or important explanatory variables are unavailable and as a result the fit obtained is often poor. This paper examines a method of allowing for this unexplained variation by introducing an independent random variable into the linear model for the Poisson mean, giving a compound Poisson mo
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Use of the Complementary Log-Log Function to Describe Dose-Response Relationships in Insecticide Evlog function provides very well-fitting dose-response curves (details to he published elsewhere). The offset facility allows a constant term to be incorporated in the model to adjust for the base level of insect attack which varies from experiment to experiment..Each insecticide dose was replicated
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0930-0325 ic of generalised 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 sec
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