Results 11 to 20 of about 525,986 (287)
Graphical Models for Ordinal Data. [PDF]
J Comput Graph Stat, 2015 A graphical model for ordinal variables is considered, where it is assumed that the data are generated by discretizing the marginal distributions of a latent multivariate Gaussian distribution. The relationships between these ordinal variables are then described by the underlying Gaussian graphical model and can be inferred by estimating the ...
Guo J, Levina E, Michailidis G, Zhu J.
europepmc +4 more sources
Inequality Comparisons with Ordinal Data [PDF]
Review of Income and Wealth, 2019 Non‐intersection of appropriately defined Generalized Lorenz (GL) curves is equivalent to a unanimous ranking of distributions of ordinal data by all Cowell and Flachaire (Economica, 2017) indices of inequality and by a new index based on GL curve areas.
Stone Center on Socio-Economic Inequality +1 more
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Ordinalysis: Interpretability of multidimensional ordinal data
SoftwareX, 2023 Ordinalysis is a software that enables dimension reduction, visualization and quantitative ordinality analysis of ordinal data. It is provided as a standalone executable file with a video tutorial.
Mouad Zine-El-Abidine +2 more
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Frontiers in Marine Science, 2021 Species distribution model (SDM) is a crucial tool for forecasting ranges of species and mirroring habitat references and quality. Different types of species distribution data have been commonly used in SDMs regarding different purposes and availability,
Jing Luan +7 more
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Modelling Qualitative Data from Repeated Surveys
Computation, 2023 This article presents an innovative dynamic model that describes the probability distributions of ordered categorical variables observed over time. For this purpose, we extend the definition of the mixture distribution obtained from the combination of a ...
Marcella Corduas, Domenico Piccolo
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Conditional entropy of ordinal patterns [PDF]
, 2014 In this paper we investigate a quantity called conditional entropy of ordinal patterns, akin to the permutation entropy. The conditional entropy of ordinal patterns describes the average diversity of the ordinal patterns succeeding a given ordinal ...
Keller, Karsten, Unakafov, Anton M.
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Journal of Water and Health, 2022 A case study of ordinal data from human organoleptic examination (sensory analysis) of drinking water obtained in an interlaboratory comparison of 49 ecological laboratories is described.
Tamar Gadrich +6 more
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Using rank data to estimate health state utility models [PDF]
, 2006 In this paper we report the estimation of conditional logistic regression models for the Health Utilities Index Mark 2 and the SF-6D, using ordinal preference data.
Aki Tsuchiya +24 more
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Stats, 2022 Background: Data with ordinal categories occur in many diverse areas, but methodologies for modeling ordinal data lag severely behind equivalent methodologies for continuous data.
Daniel Fernández +4 more
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Comparison Non-Parametric Machine Learning Algorithms for Prediction of Employee Talent
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Classification of ordinal data is part of categorical data. Ordinal data consists of features with values based on order or ranking. The use of machine learning methods in Human Resources Management is intended to support decision-making based on ...
I Ketut Adi Wirayasa +3 more
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