Results 271 to 280 of about 5,782,543 (332)

Bayesian Adaptive Lasso for Ordinal Regression With Latent Variables

Sociological Methods and Research, 2017
Xiang-Nan Feng, Hao Wu, Xinyuan Song
semanticscholar   +3 more sources

Ordinal profile monitoring with random explanatory variables

International Journal of Production Research, 2017
Dong Ding, F. Tsung, Jian Li
semanticscholar   +3 more sources

Ordinal-Level Variables, II

2018
This chapter examines measures of association designed for two ordinal-level variables that are based on pairwise comparisons of differences between rank scores. Included in Chap. 5 are Kendall’s τa and τb measures of ordinal association, Stuart’s τc measure, Goodman and Kruskal’s γ measure, Somers’ dyx and dxy measures, Kim’s dy⋅x and dx⋅y measures ...
Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke   +2 more
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Latent Variable Models for Clustered Ordinal Data

Biometrics, 1995
Existing methods for the analysis of clustered, ordinal data are inappropriate for certain applications. We propose latent variable models for clustered ordinal data which are derived as natural extensions of latent variable models for clustered binary data (Qu, Williams, Beck, and Medendorp, 1992. Biometrics 48, 1095-1102). These models can be applied
Qu, Yinsheng, Piedmonte, Marion R., Medendorp, Sharon V.   +2 more
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Classification trees for ordinal variables

Computational Statistics, 2007
Classification trees growing algorithms are considered for the case when there is an ordering of the response variable values. New versions of the Gini-Simpson and Twoing criteria are proposed for the choice of the nodes to split, which are consistent with the ordering.
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Ordinal variables

1989
Abstract In the analysis of categorical data, ordinal variables are commonly encountered. The categories are known to have an order but knowledge of the scale is insufficient to consider them as forming a metric. Although they may be treated simply as nominal categories, as in the first two chapters, valuable information is being lost ...
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HOMOGENEOUS FORMS IN TWO ORDINAL VARIABLES

Mathematical Logic Quarterly, 1984
In this paper some ordinal-valued ''diophantine'' equations are studied. If t, \(c_{r,s}\) are finite, the number of y's, for which \[ FD(x,y)=x^ tc_{t,0}+x^{t-1}yc_{t-1,1}+...+y^ tc_{0,t}=\alpha \] is solvable (\(\alpha\) is a fixed infinite ordinal), is finite. If such a y is infinite, x is the smallest solution, then \(FD(x+z,y)=\alpha\) iff \(z+y=y\
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Asymmetry for ordinal variables

Statistica & Applicazioni : V, 2, 2007, 2007
This paper proposes, for ordinal variables, and index of asymmetry based on the cumulative and retrocumulative frequencies. The paper shows that this new index has a connection with the bipolar mean, recently introduced by Maffenini and Zenga(2006).
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A Latent Variable Model for Ordinal Variables

Applied Psychological Measurement, 2000
A full-information maximum likelihood method for fitting a multidimensional latent variable model to a set of ordinal observed variables is discussed. This method is an implementation of a general class of models for ordinal variables, and for regression models with one ordinal dependent variable and all explanatory variables observed.
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Multisample Analysis of Multivariate Ordinal Categorical Variables

Multivariate Behavioral Research, 2002
We study a multiple group model with ordinal categorical observed variables that are manifestations of underlying normal variables. When the objective of an analysis is to compare the locations and dispersions of the underlying continuous variables in different groups, traditional approaches use exact linear constraints on thresholds across groups to ...
Wai-Yin, Poon, Fung-Chu, Tang
openaire   +2 more sources