Results 11 to 20 of about 122,058 (167)

Simultaneous optimization of quantitative and ordinal responses using Taguchi method [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2018
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
doaj   +1 more source

On the Bias in Confirmatory Factor Analysis When Treating Discrete Variables as Ordinal Instead of Continuous

open access: yesAxioms, 2022
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
doaj   +1 more source

sanon: An R Package for Stratified Analysis with Nonparametric Covariable Adjustment

open access: yesJournal of Statistical Software, 2015
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
doaj   +1 more source

Sparse Ordinal Logistic Regression and Its Application to Brain Decoding

open access: yesFrontiers in Neuroinformatics, 2018
Brain decoding with multivariate classification and regression has provided a powerful framework for characterizing information encoded in population neural activity.
Emi Satake   +4 more
doaj   +1 more source

Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women’s: An Ordinal Logistic Approch [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2014
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
doaj   +1 more source

KLASIFIKASI TINGKAT KESEJAHTERAAN KELUARGA DI KECAMATAN SIDEMEN MENGGUNAKAN BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL

open access: yesE-Jurnal Matematika, 2023
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
doaj   +1 more source

Multilevel Factor Models for Ordinal Variables [PDF]

open access: yesStructural Equation Modeling: A Multidisciplinary Journal, 2007
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
openaire   +2 more sources

Le tau et le tau-b de Kendall pour la corrélation de variables ordinales simples ou catégorielles [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2009
Dans le langage de tous les jours, l’expression « corrélation entre deux variables » est entendue et bien comprise de manière générale : c’est un lien, un rapport de correspondance grâce auquel la variation d’un attribut peut être associée à la variation
Louis Laurencelle
doaj  

AXIOMATIC DETERMINATION OF A CLASS OF ORDINAL VARIATION MEASURES

open access: yesStudies in Logic, Grammar and Rhetoric, 2017
The article deals with the problem of the dispersion of ordinal variables. At first, it specifies the very concept of dispersion for this type of scale. Then some of the most known measures that fit to the concept of ordinal variation are recalled.
Kęska Adam
doaj   +1 more source

Bayesian test of independence and conditional independence of two ordinal variables [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
For analysis of contingency tables with large sample size, classical approaches using approximate methods have high power. However, when the sample size is small or some cells have frequencies less than 5, classical approaches are so conservative.
Zahra Saberi, Mojtab Ganjali
doaj   +1 more source

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