Results 21 to 30 of about 1,580,568 (267)
The effect of splitting on random forests [PDF]
Machine Learning, 2014 The effect of a splitting rule on random forests (RF) is systematically studied for regression and classification problems. A class of weighted splitting rules, which includes as special cases CART weighted variance splitting and Gini index splitting, are studied in detail and shown to possess a unique adaptive property to signal and noise. We show for
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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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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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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.
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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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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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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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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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