APRON
发表于 2025-3-23 12:24:59
https://doi.org/10.1007/978-1-4612-3680-1Fitting; Generalized linear model; Likelihood; algorithms; best fit; linear regression
Carcinogenesis
发表于 2025-3-23 14:40:55
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FER
发表于 2025-3-23 18:17:07
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armistice
发表于 2025-3-23 23:12:10
Generalised Linear Models and Some Extensions: Geometry and AlgorithmsThe class of generalised linear models that are considered as standard excludes regression models needed for many important practical problems. Some extensions that have been proposed are discussed, together with implications for the GLIM system.
和平
发表于 2025-3-24 05:30:00
Bootstrap Goodness-of-Link Testing in Generalized Linear ModelsBootstrap methodology is used to compare the fit of generalized linear models with different link functions to binary response data. The difference in deviance between two non-nested models is used as a test statistic. For illustrative purposes current status age at menarche data are reanalysed.
羽毛长成
发表于 2025-3-24 10:17:55
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acrimony
发表于 2025-3-24 13:25:27
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octogenarian
发表于 2025-3-24 17:20:25
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原始
发表于 2025-3-24 21:42:45
Statistical Modelling978-1-4612-3680-1Series ISSN 0930-0325 Series E-ISSN 2197-7186
Abduct
发表于 2025-3-25 00:00:56
The GLIMPSE System the statistical knowledge encoded within the system, the guidance available to a user and a facility for suggesting answers to a user who requires guidance are discussed. The system is suitable for users with different levels of expertise including those who wish to act independently of the system’s advice.