Results 41 to 50 of about 574,217 (170)
Risks, 2023 Territory risk analysis has played an important role in auto insurance rate regulation. It aims to design rating territories from a set of basic rating units so that their respective risk relativities can be estimated to reflect the regional risk of ...
Shengkun Xie, Chong Gan
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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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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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Fitting multilevel multivariate models with missing data in responses and covariates that may include interactions and non-linear terms [PDF]
, 2012 The paper extends existing models for multilevel multivariate data with mixed response types to handle quite general types and patterns of missing data values in a wide range of multilevel generalized linear models.
Browne, William J. +2 more
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Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
Journal of Statistical Software, 2022 The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto +5 more
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Genetics Selection Evolution, 2005 We propose a general Bayesian approach to heteroskedastic error modeling for generalized linear mixed models (GLMM) in which linked functions of conditional means and residual variances are specified as separate linear combinations of fixed and random ...
Kizilkaya Kadir, Tempelman Robert J
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A Note on the Identifiability of Generalized Linear Mixed Models [PDF]
, 2014 I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core
The subset argument and consistency of MLE in GLMM: Answer to an open problem and beyond [PDF]
, 2013 We give answer to an open problem regarding consistency of the maximum likelihood estimators (MLEs) in generalized linear mixed models (GLMMs) involving crossed random effects.
Jiang, Jiming
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Sensory analysis of Prato cheeses by generalized linear mixed models
Revista do Instituto de Latícinios Cândido TostesSensory analysis, an area of Food Science, is used to analyze and measure characteristics of foods, being able to evaluate the acceptance of samples. Such assessments can be performed using the 9-point numerical hedonic scale, classified as an ordinal ...
Tatiane Carvalho Alvarenga +1 more
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Basic Features of the Analysis of Germination Data with Generalized Linear Mixed Models
Data, 2020 Germination data are discrete and binomial. Although analysis of variance (ANOVA) has long been used for the statistical analysis of these data, generalized linear mixed models (GzLMMs) provide a more consistent theoretical framework. GzLMMs are suitable
Alberto Gianinetti
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