Results 261 to 270 of about 476,135 (303)
Some of the next articles are maybe not open access.
2019
A commonly undervalued and mistreated type of outcome variable is the ordinal one. Two common types of mistreatment are treating ordinal variables as interval/ratio level outcome variables (frequently in linear models) and, in other cases, as multicategory nominal outcome variables. Multicategory nominal outcome variables are covered in Chap.
openaire +1 more source
A commonly undervalued and mistreated type of outcome variable is the ordinal one. Two common types of mistreatment are treating ordinal variables as interval/ratio level outcome variables (frequently in linear models) and, in other cases, as multicategory nominal outcome variables. Multicategory nominal outcome variables are covered in Chap.
openaire +1 more source
A Method for Transforming Ordinal Variables
2017The similarity of individuals with respect to a number of ordinal variables is the main topic of this work. We consider the application of Multiple Correspondence Analysis (MCA) on k ordinal variables for N subjects. In the context of ordinary MCA, each variable is transformed into a suitable number of binary variables and the derived matrix is ...
Odysseas Moschidis +1 more
openaire +1 more source
Multivariate Analysis of Ordinal Variables
American Journal of Sociology, 1975This article examines the assumptions underlying two multivariate strategies commonly used in analyzing ordinal data. Both strategies employ as a descriptive tool the ordinary multiple regression algorithms; the crucial difference between the two is that the first, ordinal strategy, uses the matrix of Kendall's 's as the building block of multivariate ...
openaire +1 more source
Ordinal Variables and the Measurement of Polarization
2011This paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation. An empirical illustration is given, based on the European Union Statistics on Income and Living Conditions (EU-SILC) for
FUSCO Alessio, SILBER Jacques
openaire +1 more source
Comparing classifiers for ordinal variables
2020To choose a single category of a qualitative variable using its predicted probability distribution is the final task to solve a classification problem. In this study, five predictive criteria are proposed and compared with the modal one, which is the standard criterion.
Silvia Golia, Maurizio Carpita
openaire +1 more source
Regression with an Ordinal Dependent Variable Regression with an Ordinal Dependent Variable
2009John G. Orme, Terri Combs-Orme
openaire +1 more source
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
IEEE Transactions on Neural Networks and Learning Systems, 2022Haiping Zhu +2 more
exaly
Relative margin induced support vector ordinal regression
Expert Systems With Applications, 2023Fa Zhu, Xingchi Chen, Shuo Chen
exaly

