Results 21 to 30 of about 4,395,518 (296)
A Bayesian localised conditional auto-regressive model for estimating the health effects of air pollution [PDF]
, 2013 Estimation of the long-term health effects of air pollution is a challenging task, especially when modeling spatial small-area disease incidence data in an ecological study design.
Besag +19 more
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Dissipation effects in random transverse-field Ising chains [PDF]
, 2012 We study the effects of Ohmic, super-Ohmic, and sub-Ohmic dissipation on the zero-temperature quantum phase transition in the random transverse-field Ising chain by means of an (asymptotically exact) analytical strong-disorder renormalization-group ...
José A. Hoyos +3 more
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Revstat Statistical Journal, 2018 The generalized linear mixed effects model (GLMM) approach is widely used to analyze longitudinal binary data when the goal of the study is a subject-specific interpretation because it allows missing values on the response, provided they are missing at ...
M. Salomé Cabral +1 more
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Mixed Effects in Stochastic Differential Equation Models
Revstat Statistical Journal, 2005 A class of statistical models is proposed where random effects are incorporated into a stochastic differential equations model, and an expression for the likelihood function is derived.
Susanne Ditlevsen , Andrea De Gaetano
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Optimal sample size in the multilevel modeling: Investigating the impact of the sample size on the random and fixed effects, using the TIMSS data [PDF]
فصلنامه نوآوریهای آموزشی, 2020 Due to the increasing use of the multilevel models, determining the number of the samples is one of the major concerns of the researchers in this field, so the main purpose of this study is to investigate the optimal sample size in the two-level models ...
Zahrā Naghsh, Zahrā Hāshemi
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Binary and Ordinal Random Effects Models Including Variable Selection [PDF]
, 2010 A likelihood-based boosting approach for fitting binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available.
Groll, Andreas, Tutz, Gerhard
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Filtering random layering effects in imaging [PDF]
, 2010 Objects that are buried deep in heterogeneous media produce faint echoes which are difficult to distinguish from the backscattered field. Sensor array imaging in such media cannot work unless we filter out the backscattered echoes and enhance the ...
Borcea, Liliana +3 more
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Modeling of informal employment factors
Вестник Северо-Кавказского федерального университетаIntroduction. The problem of reducing the level of informal employment has worsened in the last 3 years against the background of geopolitical crises.
Yu. A. Metel, O. A. Lepekhin
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EntropyThis paper aims to improve the accuracy of reliability estimates and the failure time prediction for products exhibiting nonlinear degradation behavior under constant-stress accelerated degradation test (CSADT). To achieve this, a novel degradation model
Shanshan Li, Zaizai Yan, Junmei Jia
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Revista Brasileira de Zootecnia, 2010 Genetic evaluations should become more accurate with the advent of whole genome selection (WGS) based on high density SNP panels. The use of WGS should then accelerate genetic gains for production traits given likely decreases in generation interval due ...
Robert John Tempelman
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