Results 31 to 40 of about 179,170 (301)
Frontiers in Digital Health, 2023 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
doaj +1 more source
Binary and Ordinal Random Effects Models Including Variable Selection [PDF]
, 2010 A likelihood-based boosting approach for fitting binary and ordinal mixed models is presented. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available.
Groll, Andreas, Tutz, Gerhard
core +1 more source
Frontiers in Computer Science, 2021 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
doaj +1 more source
Fruit production is influenced by tree size and size‐asymmetric crowding in a wet tropical forest
Ecology and Evolution, 2019 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
doaj +1 more source
Mathematics, 2021 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
doaj +1 more source
On Two Mixture-Based Clustering Approaches Used in Modeling an Insurance Portfolio
Risks, 2018 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
doaj +1 more source
Global permutation tests for multivariate ordinal data: alternatives, test statistics, and the null dilemma [PDF]
, 2013 We discuss two-sample global permutation tests for sets of multivariate ordinal data in possibly high-dimensional setups, motivated by the analysis of data collected by means of the World Health Organisation's International Classification of Functioning,
Cieza, Alarcos +2 more
core +1 more source
Qualitative - Binary, Nominal and Ordinal Data Analysis in Medical Science
National Journal of Community Medicine, 2022 The outcome of any medical research is belonged to the human beings. The correct application of statistical test has its paramount importance. This article provides the details of categorical data analysis test with example and with its interpretation ...
Swati Patel
doaj +1 more source
Journal of MultiDisciplinary Evaluation, 2015 Background: Evaluation work frequently utilizes factor analysis to establish the dimensionality, reliability, and stability of surveys. However, survey data is typically ordinal, violating the assumptions of most statistical methods, and thus is often ...
Megan Sanders +2 more
doaj +1 more source
Smoothing in Ordinal Regression: An Application to Sensory Data
Stats, 2021 The so-called proportional odds assumption is popular in cumulative, ordinal regression. In practice, however, such an assumption is sometimes too restrictive.
Ejike R. Ugba +2 more
doaj +1 more source