Results 31 to 40 of about 2,459,647 (188)
Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization
Axioms, 2022 Many parts of big data, such as web documents, online posts, papers, patents, and articles, are in text form. So, the analysis of text data in the big data domain is an important task.
Sunghae Jun
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Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
, 2018 Nonnegative matrix factorization (NMF) is one of the most frequently-used matrix factorization models in data analysis. A significant reason to the popularity of NMF is its interpretability and the `parts of whole' interpretation of its components ...
Hook, James +2 more
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, 2021 The best way to understand a linear mixed model, or mixed linear model in some earlier literature, is to first recall a linear regression model. The latter can be expressed as y = Xβ + 𝜖, where y is a vector of observations, X is a matrix of known covariates, β is a vector of unknown regression coefficients, and 𝜖 is a vector of (unobservable random ...
Jiming Jiang, Thuan Nguyen
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Model Misspecification and Assumption Violations With the Linear Mixed Model: A Meta-Analysis
SAGE Open, 2018 This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model ...
Brandon LeBeau +2 more
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On the mixed Kibria–Lukman estimator for the linear regression model
Scientific Reports, 2022 This paper considers a linear regression model with stochastic restrictions,we propose a new mixed Kibria–Lukman estimator by combining the mixed estimator and the Kibria–Lukman estimator.This new estimator is a general estimation, including OLS ...
Hongmei Chen, Jibo Wu
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Subset Selection for Linear Mixed Models
Biometrics, 2022 AbstractLinear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multilevel data. However, selection among the covariates—while accounting for this structured dependence—remains a challenge. We introduce a Bayesian decision analysis for subset selection with LMMs. Using a Mahalanobis
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Heliyon, 2023 Hypertension is characterized by the persistent elevation of blood pressure (BP) above the normal range or the use of antihypertensive medication. It represents a major global health issue and serves as a significant risk factor for conditions such as ...
Anteneh Asmare Godana +2 more
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A mixed integer linear programming model for optimal sovereign debt issuance [PDF]
, 2011 Copyright @ 2011, Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in the European Journal of Operational Research.
A. Canepa +26 more
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The development of a simple basal area increment model [PDF]
, 2011 In most cases forest practice in Austria use yield tables to predict the growth of their forests. Common yield tables show the increment of pure even-aged stands which are treated in a way the table developer recommends.
Georg Erich Kindermann
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Energies, 2022 An essential challenge in generation scheduling (GS) problems of hydrothermal power systems is the inclusion of adequate modeling of the hydroelectric production function (HPF).
David Lucas dos Santos Abreu +1 more
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