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Answering Ordinal Questions with Ordinal Data Using Ordinal Statistics

Multivariate Behavioral Research, 1996
It is argued that ordinal statistical methods are often more appropriate than their more common counterparts for three types of reasons: Conclusions from them will be unaffected by monotonic transformation of the variables, they are statistically more robust when used appropriately, and they often correspond more closely to the goals of the ...
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Ordinal Forests

Journal of Classification, 2019
The prediction of the values of ordinal response variables using covariate data is a relatively infrequent task in many application areas. Accordingly, ordinal response variables have gained comparably little attention in the literature on statistical prediction modeling.
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Ordine Internazionale

2020
Il ritorno dei nazionalismi emerge in una fase di riassetto strutturale del Sistema Internazionale, in cui il mondo unipolare a guida statunitense, emerso dopo il crollo dell'URSS nei primi anni Novanta, sembra ormai dover cedere definitivamente il passo a un sistema multipolare in cui nuove potenze emergenti, la Cina innanzitutto, vanno consolidandosi
Giulia Cimini, Adriano Cozzolino
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CONSTRAINED ADDITIVE ORDINATION

Ecology, 2006
For several decades now, ecologists have sought to determine the shape of species' response curves and how they are distributed along unknown underlying gradients, environmental latent variables, or ordination axes. Its determination has important implications for both continuum theory and community analysis because many theories and models in ...
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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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