Results 21 to 30 of about 121,428 (266)
Simultaneous optimization of quantitative and ordinal responses using Taguchi method [PDF]
In the real world, the overall quality of a product is often represented partly by the measured values of some quantitative variables and partly by the observed values of some ordinal variables.
S. Pal, S. Gauri
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Confirmatory factor analysis is some of the most widely used statistical techniques in the social sciences. Frequently, variables (i.e., items) stemming from questionnaires are analyzed.
Alexander Robitzsch
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sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment
Kawaguchi, Koch, and Wang (2011) provide methodology and applications for a stratified Mann-Whitney estimator that addresses the same comparison between two randomized groups for a strictly ordinal response variable as the van Elteren test statistic for ...
Atsushi Kawaguchi, Gary G. Koch
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Sparse Ordinal Logistic Regression and Its Application to Brain Decoding
Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity.
Emi Satake +4 more
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Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women’s: An Ordinal Logistic Approch [PDF]
Introduction: To investigate the predictors factors of Pelvic Organ Prolapse (POP) in Iranian women by using ordinal logistic regression. Materials and Methods: The role of risk factors of POP was evaluated among 365 patients attending in two public ...
Ashraf Direkvand-Moghadam +2 more
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This research was conducted to determine the variables that have a significant impact on the stages of a well-off family in Sidemen Sub-district based on indicators obtained from the BKKBN and to classify the stages of a well-off family.
I GUSTI NGURAH SENTANA PUTRA +2 more
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Le tau et le tau-b de Kendall pour la corrélation de variables ordinales simples ou catégorielles [PDF]
Dans le langage de tous les jours, lexpression « corrélation entre deux variables » est entendue et bien comprise de manière générale : cest un lien, un rapport de correspondance grâce auquel la variation dun attribut peut être associée à la variation
Louis Laurencelle
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Representing ordinal input variables in the context of ordinal classification
Ordinal input variables are common in many supervised and unsupervised machine learning problems. We focus on ordinal classification problems, where the target variable is also categorical and ordinal. In order to represent categorical input variables for measuring distances or applying continuous mapping functions, they have to be transformed to ...
Pedro Antonio Gutiérrez +3 more
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Ordinal logistic regression is a method describing the relationship between an ordered categorical response variable and one or more explanatory variables.
Reni Amelia +2 more
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Multilevel Factor Models for Ordinal Variables [PDF]
Abstract This article tackles several issues involved in specifying, fitting, and interpreting the results of multilevel factor models for ordinal variables. First, the problem of model specification and identification is addressed, outlining parameter interpretation.
GRILLI, LEONARDO, RAMPICHINI, CARLA
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