Results 1 to 10 of about 522,372 (186)
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
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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
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Semiparametric Modeling of Ordinal Data [PDF]
, 2000 Parametric models for categorical ordinal response variables, like the proportional odds model or the continuation ratio model, assume that the predictor is given as a linear form of covariates.
Kauermann, Göran, Tutz, Gerhard
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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
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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
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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
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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
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brms: An R Package for Bayesian Multilevel Models Using Stan
Journal of Statistical Software, 2017 The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial ...
Paul-Christian Bürkner
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Multinomial Logit Models with Implicit Variable Selection [PDF]
, 2010 Multinomial logit models which are most commonly used for the modeling of unordered multi-category responses are typically restricted to the use of few predictors. In the high-dimensional case maximum likelihood estimates frequently do not exist. In this
Tutz, Gerhard, Zahid, Faisal Maqbool
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Analyzing the health status of the population using ordinal data [PDF]
Computational Methods in Social Sciences, 2015 We intend to estimate the health status of the people using a Gini kind index GO for measuring the inequality and a polarization indicator PO too.
Maria Livia ŞTEFĂNESCU
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