# Ordinal Position

## Papers overview

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Highly Cited

2015

Highly Cited

2015

- IEEE Transactions on Neural Networks and Learningâ€¦
- 2015

Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. However, until now there wereâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- The British journal of mathematical andâ€¦
- 2010

We develop a method for the analysis of multivariate ordinal categorical data with misclassification based on the latent normalâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Statistics in medicine
- 2007

Spatial scan statistics are widely used for count data to detect geographical disease clusters of high or low incidenceâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Neural Computation
- 2007

In this letter, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to defineâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- 2005

This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEEâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Psychological methods
- 2004

Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-typeâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Cognition
- 2003

In the domain of numbers the existence of spatial components in the representation of numerical magnitude has been convincinglyâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- 1999

We investigate the problem of predicting variables of ordinal scale. This taks is referred to as ordinal regression and isâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- 1989

In the beginning of article we show some consequences of the regularity axiom. In the second part we introduce the successor of aâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- Archives of physical medicine and rehabilitation
- 1989

Quantitative observations are based on counting observed events or levels of performance. Meaningful measurement is based on theâ€¦Â (More)

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