Results 61 to 70 of about 1,274,632 (180)
Analysis of actuarial risk with generalized linear models
Sistemnì Doslìdženâ ta Informacìjnì TehnologìïThe problem of applying generalized linear models to the analysis of actuarial risks in the context of premium charges to clients was considered. The Monte-Carlo method for Markov chains was applied.
Roman Panibratov, Petro Bidyuk
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mplot: An R Package for Graphical Model Stability and Variable Selection Procedures
Journal of Statistical Software, 2018 The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr +2 more
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Global and local distance-based generalized linear models [PDF]
, 2016 This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva +4 more
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Revista Colombiana de Estadística, 2005 En el tratamiento para obtener agua potable encontramos modelos lineales para explicar dosis y concentración de sulfato, dosis de cal, probabilidades de aplicación de cal y de polímero, incluyendo como variables explicativas algunas propiedades físicas y
Cepeda Zulma, Cepeda C. Edilberto
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Multivariate Generalized Linear Mixed Models for Count Data
Austrian Journal of StatisticsUnivariate regression models have rich literature for counting data. However, this is not the case for multivariate count data. Therefore, we present the Multivariate Generalized Linear Mixed Models framework that deals with a multivariate set of ...
Guilherme Parreira da Silva +4 more
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BMC Medical Research Methodology, 2017 Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
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Application of Generalized Linear Models to Data Analysis in Drinking Water Treatment
Revista Colombiana de Estadística, 2005 In drinking water treatment we found appropriate linear models to explain dose and concentration of sulphate, dose of lime, lime application probability and polymer application probability, including as explanatory variables some physical and chemical ...
ZULMA CEPEDA, EDILBERTO CEPEDA C
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Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
Frontiers in Psychology, 2019 Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose +6 more
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A brief review of supersymmetric non-linear sigma models and generalized complex geometry [PDF]
, 2006 This is a review of the relation between supersymmetric non-linear sigma models and target space geometry. In particular, we report on the derivation of generalized K\"ahler geometry from sigma models with additional spinorial superfields.
Lindström, Ulf
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Tests for High Dimensional Generalized Linear Models [PDF]
, 2014 We consider testing regression coefficients in high dimensional generalized linear models. An investigation of the test of Goeman et al. (2011) is conducted, which reveals that if the inverse of the link function is unbounded, the high dimensionality in ...
Chen, Song Xi, Guo, Bin
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