Results 31 to 40 of about 4,430,595 (297)
Using observation-level random effects to model overdispersion in count data in ecology and evolution [PDF]
, 2014 Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation).
Harrison, XA
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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
doaj
Effective aspects of Bernoulli randomness [PDF]
Journal of Logic and Computation, 2019 AbstractIn this paper, we study Bernoulli random sequences, i.e. sequences that are Martin-Löf random with respect to a Bernoulli measure $\mu _p$ for some $p\in [0,1]$, where we allow for the possibility that $p$ is noncomputable. We focus in particular on the case in which the underlying Bernoulli parameter $p$ is proper (i.e.
openaire +2 more sources
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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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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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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Linear Mixed Models with Marginally Symmetric Nonparametric Random Effects
, 2016 Linear mixed models (LMMs) are used as an important tool in the data analysis of repeated measures and longitudinal studies. The most common form of LMMs utilize a normal distribution to model the random effects.
McLachlan, Geoffrey J., Nguyen, Hien D.
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Multilevel Intersectional Analysis to Identify Extreme Profiles in Italian Student Achievement Data
Social SciencesStudents have diverse identities and social characteristics. The different combinations of these factors create a stratification that affects the learning outcomes.
Enrico Contin, Leonardo Grilli
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Use of Repeated Measures Data Analysis for Field Trials with Annual and Perennial Crops
Plants, 2022 Field studies conducted over time to collect any type of plant response to a set of treatments are often not treated as repeated measures data. The most used approaches for statistical analyses of this type of longitudinal data are based on separate ...
Paulo Pagliari +3 more
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Random Field and Random Anisotropy Effects in Defect-Free Three-Dimensional XY Models
, 2000 Monte Carlo simulations have been used to study a vortex-free XY ferromagnet with a random field or a random anisotropy on simple cubic lattices. In the random field case, which can be related to a charge-density wave pinned by random point defects, it ...
A. Aharony +37 more
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