Results 11 to 20 of about 291,054 (244)
Fitting additive Poisson models [PDF]
Epidemiologic Perspectives & Innovations, 2010 AbstractThis paper describes how to fit an additive Poisson model using standard software. It is illustrated with SAS code, but can be similarly used for other software packages.
Boshuizen, H.C., Feskens, E.J.M.
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Evaluation of the effectiveness of the use of additive wax printing technologies for obtaining wax models for lost-wax casting in custom production based on simulation modeling [PDF]
E3S Web of Conferences, 2023 The article discusses the technology of casting according to the smelted models, in particular, the processes of manufacturing wax models. We considered methods of manufacturing elements of model blocks with the use of molds and with the help of additive
Dolgov Nikita +2 more
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Negative Binomial Additive Models [PDF]
Biometrics, 2000 Summary.The generalized additive model is extended to handle negative binomial responses. The extension is complicated by the fact that the negative binomial distribution has two parameters and is not in the exponential family. The methodology is applied to data involving DNA adduct counts and smoking variables among ex‐smokers with lung cancer. A more
Thurston, Sally W. +2 more
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Reluctant Generalised Additive Modelling
International Statistical Review, 2020 SummarySparse generalised additive models (GAMs) are an extension of sparse generalised linear models that allow a model's prediction to vary non‐linearly with an input variable. This enables the data analyst build more accurate models, especially when the linearity assumption is known to be a poor approximation of reality.
J. Kenneth Tay, Robert Tibshirani
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Semiparametric Additive Beta Regression Models
Revstat Statistical Journal, 2021 In this paper, we study a semiparametric additive beta regression model using a parameterization based on the mean and a dispersion parameter. This model is useful for situations where the response variable is continuous and restricted to the unit ...
Germán Ibacache-Pulgar +2 more
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Spanish Journal of Agricultural Research, 2016 Virgin olive oil is a key ingredient of the renowned Mediterranean diet. In this context, the main objective of this study was to estimate and decompose productivity change for Protected Designations of Origin (PDOs) in the Spanish virgin olive oil ...
Juan Aparicio +3 more
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On concurvity in nonlinear and nonparametric regression models
Statistica, 2014 When data are affected by multicollinearity in the linear regression framework, then concurvity will be present in fitting a generalized additive model (GAM). The term concurvity describes nonlinear dependencies among the predictor variables.
Sonia Amodio +2 more
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Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models
Mathematics, 2023 In this paper, we introduce two semiparametric single-index models for spatially and temporally correlated data. Our first model has spatially and temporally correlated random effects that are additive to the nonparametric function, which we refer to as ...
Hamdy F. F. Mahmoud, Inyoung Kim
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Inheritance of the birth weights in crosses between Istrian, Awassi, East-Friesian and Travnik Pramenka sheep in Croatia: a case study [PDF]
Journal of Central European Agriculture, 2021 The purpose of the study was to estimate the influence of the additive and non-additive genetic effects on the birth weight, using two different crossbreed models. Data on 1176 birth weights were collected. The animals were crosses, with different ratios
Ivan Pocrnic, Alen Dzidic
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Journal of Computational and Graphical Statistics, 2021 We propose the Additive Functional Cox Model to flexibly quantify the association between functional covariates and time to event data. The model extends the linear functional proportional hazards model by allowing the association between the functional covariate and log hazard to vary non-linearly in both the functional domain and the value of the ...
Erjia Cui +2 more
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