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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Bayesian Exponential Random Graph Models with Nodal Random Effects [PDF]
, 2015 We extend the well-known and widely used Exponential Random Graph Model (ERGM) by including nodal random effects to compensate for heterogeneity in the nodes of a network.
A. Caimo +43 more
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Resonant effects in random dielectric structures [PDF]
, 2013 Recently, a theory for artificial magnetism in two-dimensional photonic crystals has been developed for large wavelength using homogenization techniques.
Bouchitte, Guy +2 more
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Modelling the distribution of health related quality of life of advancedmelanoma patients in a longitudinal multi-centre clinical trial using M-quantile random effects regression [PDF]
, 2018 Health-related quality of life assessment is important in the clinical evaluation of patients with metastatic disease that may offer useful information in understanding the clinical effectiveness of a treatment.
Bianco, Paola Del +4 more
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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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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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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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Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models [PDF]
, 2014 1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to generalized linear mixed models (GLMMs). However, their R2GLMM method is restricted to models with the simplest random effects structure, known as random ...
Johnson, Paul C.D.
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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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