Results 21 to 30 of about 158,629 (258)
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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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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For the analysis of square contingency tables, Tomizawa, Miyamoto and Ashihara (2003) considered a measure to represent the degree of departure from marginal homogeneity.
Kouji Yamamoto +2 more
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Comparison Non-Parametric Machine Learning Algorithms for Prediction of Employee Talent
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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Inequality Comparisons with Ordinal Data [PDF]
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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This paper presents a new Bayesian method for analyzing Ecological Momentary Assessment (EMA) data and applies this method in a re-analysis of data from a previous EMA study.
Arne Leijon +4 more
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Fruit production is influenced by tree size and size‐asymmetric crowding in a wet tropical forest
In tropical forest communities, seedling recruitment can be limited by the number of fruit produced by adults. Fruit production tends to be highly unequal among trees of the same species, which may be due to environmental factors.
David M. Minor, Richard K. Kobe
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People perceive emotions via multiple cues, predominantly speech and visual cues, and a number of emotion recognition systems utilize both audio and visual cues.
Jingyao Wu +4 more
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Several complex phenomena are measured with the use of tools in the form of a questionnaire where the values of criteria are assessed by the respondents using ordinal scales.
Ewa Roszkowska, Bartłomiej Jefmański
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On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (OSM).
Tatjana Miljkovic +1 more
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