Kendall transformation brings a robust categorical representation of ordinal data. [PDF]
Sci Rep, 2022 Kursa MB.
europepmc +1 more source
Accuracy versus convenience: A simulation-based comparison of two continuous imputation models for incomplete ordinal longitudinal clinical trials data [PDF]
, 2009 Anup Amatya +6 more
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Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate cloud cover assessment is crucial in several fields, such as weather forecasting, climate science, agriculture, or energy system planning, precipitation pattern forecasting and aiding in early detection of extreme weather events.
Markus Gotz +6 more
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Frequentist Model Averaging in Structure Equation Model With Ordinal Data. [PDF]
Psychometrika, 2022 Jin S.
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Ordinal Comparison of Multidimensional Deprivation: theory and application [PDF]
This paper develops an ordinal method of comparison of multidimensional inequality. In our model, population distribution g is more unequal than f when the distributions have common median and can be obtained from f by one or more shifts in population ...
Christoffer Sonne-Schmidt +2 more
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Testing Non-Linear Ordinal Responses in L2 × K Tables
Ruhuna Journal of Science, 2007 In comparative studies responses of two populations are often summarized in stratified 2 × K tables with ordinal categories. A test, called QEt test, is proposed for testing the homogeneity of the populations against non-linear alternatives in such ...
Leslie Jayasekara, Takashi Yanagawa
doaj
Best Practices for Binary and Ordinal Data Analyses. [PDF]
Behav Genet, 2021 Verhulst B, Neale MC.
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Classification Trees for Problems with Monotonicity Constraints [PDF]
For classification problems with ordinal attributes very often theclass attribute should increase with each or some of theexplaining attributes. These are called classification problemswith monotonicity constraints. Classical decision tree algorithmssuch
Feelders, A.J., Potharst, R.
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Let’s Measure Agreement, Consensus, and Polarization in Ordinal Data
, 2022 Clem Aeppli, Didier Ruedin
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An Ordinal Regression Model using Dealer Satisfaction Data [PDF]
This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the 'overall satisfaction' and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model
Alexander Staus
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