Results 11 to 20 of about 1,535,509 (313)
A Spatiotemporal Analysis of the COVID‐19 Pandemic in North Africa
GeoHealth, 2022 Spatial panel‐data models are estimated to identify the factors of the prevalence of the coronavirus outbreak in North Africa. Using daily data on the number of cases collected between March 2020 and December 2021, three types of general models are ...
Sami Khedhiri
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Pro forma modeling of cryptocurrency returns, volatilities, linkages and portfolio characteristics
China Accounting and Finance Review, 2023 Critics say cryptocurrencies are hard to predict and lack both economic value and accounting standards, while supporters argue they are revolutionary financial technology and a new asset class.
Rama K. Malladi
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TMB: Automatic Differentiation and Laplace Approximation
Journal of Statistical Software, 2016 TMB is an open source R package that enables quick implementation of complex nonlinear random effects (latent variable) models in a manner similar to the established AD Model Builder package (ADMB, http://admb-project.org/; Fournier et al. 2011).
Kasper Kristensen +4 more
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Regional Business Confidence as Early Indicator of Regional Economic Growth
Managing Global Transitions, 2021 Official sub-national GDP figures in South Africa are usually published with long delays or not at all, i.e. relevant, reliable, and real-time economic data on a provincial and local (municipal) level are often non-existent, causing a significant data ...
Ewert Kleynhans, Clive Coetzee
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Mathematics, 2022 This article presents the results of the implementation of a forecasting model, to predict the relief materials needed for assisting in decisions prior to natural disasters, thus filling a gap in the exploration of Generalized Linear Mixed Models (GLMM ...
Camila Pareja Yale +2 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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Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test
Applied Sciences, 2023 Generalized linear mixed models are commonly used in repeated measurement studies and account for the dependence between observations obtained from the same experimental unit.
Diana Arango-Botero +2 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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Statistical Inference of Wiener Constant-Stress Accelerated Degradation Model with Random Effects
Mathematics, 2022 In the field of reliability analysis, the constant-stress accelerated degradation test is one of the most commonly used methods to evaluate a product’s reliability as degradation data are provided. In this paper, a constant-stress accelerated degradation
Peihua Jiang
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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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