GLIM (software)
GLIM (an acronym for Generalized Linear Interactive Modelling) is a statistical software program for fitting generalized linear models (GLMs). It was developed by the Royal Statistical Society's Working Party on Statistical Computing (later renamed the GLIM Working Party),[1] chaired initially by John Nelder.[2] It was first released in 1974 with the last major release, GLIM4, in 1993.[3] GLIM was distributed by the Numerical Algorithms Group (NAG).[4]
GLIM was notable for being the first package capable of fitting a wide range of generalized linear models in a unified framework, and for encouraging an interactive, iterative approach to statistical modelling.[5] GLIM used a command-line interface and allowed users to define their own macros. Many articles in academic journals were written about the use of GLIM.[6][7][8][9][10][11][12] Two GLIM conferences were held in London (1982) and Lancaster (1985) and the Statistical Modelling Society, with its annual workshops, grew out of them. GLIM was reviewed in The American Statistician in 1994, along with other software for fitting generalized linear models.[13]
The GLIMPSE system was later developed to provide a knowledge based front-end for GLIM.[14]
GLIM is no longer actively developed or distributed.
Books
- Page Module:Citation/CS1/styles.css has no content.Aitkin, Murray; Anderson, Dorothy; Francis, Brian; Hinde, John (1989). Statistical Modelling in GLIM. Oxford: Oxford University Press. ISBN 0-19-852203-7.
- Page Module:Citation/CS1/styles.css has no content.Gilchrist, R.; Green, M. (1980). GLIM: a primer. Polytechnic of North London, Dept. of Mathematics.
- Page Module:Citation/CS1/styles.css has no content.Healy, Michael J. R. (1988). GLIM: an introduction. Clarendon Press. ISBN 978-0-19-852213-3.
References
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- ^ Page Module:Citation/CS1/styles.css has no content."Royal Statistical Society webpage on Working Parties". Archived from the original on February 21, 2007. Retrieved 2007-12-18.
- ^ Page Module:Citation/CS1/styles.css has no content.Nelder, John (1975). "Announcement by the Working Party on Statistical Computing: GLIM (Generalized Linear Interactive Modelling Program)". Journal of the Royal Statistical Society, Series C. 24 (2): 259–261. JSTOR 2346575.
- ^ Page Module:Citation/CS1/styles.css has no content.Francis, Brian; Mick Green; Clive Payne (1993). The GLIM System: Release 4 Manual. Oxford: Clarendon Press. ISBN 0-19-852231-2.
- ^ Page Module:Citation/CS1/styles.css has no content."Generalized Linear Interactive Modeling Package (GLIM)". Archived from the original on 12 October 2010. Retrieved 2007-12-18.
- ^ Page Module:Citation/CS1/styles.css has no content.Aitkin, Murray; Dorothy Anderson; Brian Francis; John Hinde (1989). Statistical Modelling in GLIM. Oxford: Oxford University Press. ISBN 0-19-852203-7.
- ^ Page Module:Citation/CS1/styles.css has no content.Wacholder, Sholom (1986). "Binomial regression in GLIM: Estimating risk ratios and risk differences". American Journal of Epidemiology. 123 (1): 174–184. PMID 3509965.
- ^ Page Module:Citation/CS1/styles.css has no content.Aitken, Murray; Clayton, David (1980). "The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using GLIM". Journal of the Royal Statistical Society, Series C. 29 (2): 156–163. JSTOR 2986301.
- ^ Page Module:Citation/CS1/styles.css has no content.Aitkin, Murray (1987). "Modelling Variance Heterogeneity in Normal Regression Using GLIM". Journal of the Royal Statistical Society, Series C. 36 (3). JSTOR 2347792.
- ^ Page Module:Citation/CS1/styles.css has no content.Whitehead, John (1980). "Fitting Cox's Regression Model to Survival Data using GLIM". Journal of the Royal Statistical Society, Series C. 29 (3). JSTOR 2346901.
- ^ Page Module:Citation/CS1/styles.css has no content.Berman, Mark; Turner, Rolf T. (1992). "Approximating Point Process Likelihoods with GLIM". Journal of the Royal Statistical Society, Series C. 41 (1): 31–38. JSTOR 2347614.
- ^ Page Module:Citation/CS1/styles.css has no content.Decarli, A.; La Vecchia, C. (1987). "Age, period and cohort models: review of knowledge and implementation in GLIM". Rev. Stat. App. 20: 397–409.
- ^ Page Module:Citation/CS1/styles.css has no content.Jørgensen, Bent (1984). "The Delta Algorithm and GLIM". International Statistical Review / Revue Internationale de Statistique. 52 (3): 283–300. doi:10.2307/1403047. JSTOR 1403047.
- ^ Page Module:Citation/CS1/styles.css has no content.Hilbe, Joseph (1994). "Review: Generalized Linear Models". The American Statistician. 48 (3): 255–265. arXiv:1308.2408. doi:10.2307/2684732. JSTOR 2684732.
- ^ Page Module:Citation/CS1/styles.css has no content.Wolstenholme, D.; Obrien, C.; Nelder, J. (1988). "GLIMPSE: a knowledge-based front end for statistical analysis". Knowledge-Based Systems. 1 (3): 173. doi:10.1016/0950-7051(88)90075-5.
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