In statistics, the ordered logit model (also ordered logistic regression or proportional odds model), is a regression model for ordinal dependentâ€¦Â (More)

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Review

2016

Review

2016

- Lucia Ballerini, Ruggiero Lovreglio, +6 authors Joanna M. Wardlaw
- MIUA
- 2016

Segmentation of perivascular spaces (PVS) from brain magnetic resonance images (MRI) is important for understanding the brainâ€™sâ€¦Â (More)

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2013

2013

Multinomial and ordered Logit models are quantitative techniques which are used in a range of disciplines nowadays. When applyingâ€¦Â (More)

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Highly Cited

2011

Highly Cited

2011

- Gregori Baetschmanna, Kevin E. Stauba, Rainer Winkelmanna
- 2011

The paper re-examines existing estimators for the panel data fixed effects ordered logit model, proposes a new one, and studiesâ€¦Â (More)

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2008

2008

- Frank Rijmen
- Int. J. Approx. Reasoning
- 2008

Logistic regression techniques can be used to restrict the conditional probabilities of a Bayesian network for discrete variablesâ€¦Â (More)

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2005

2005

- Xiaokun Wang, Kara Kockelman, Clare Boothe
- 2005

This paper uses a heteroscedastic ordered logit model to study the effects of various vehicle, environmental, roadway andâ€¦Â (More)

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2005

2005

We discuss regression models for ordered responses, such as ratings of bonds, schooling attainment, or measures of subjectiveâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

Psychologists and sociologists usually interpret happiness scores as cardinal and comparable across respondents, and thus run OLSâ€¦Â (More)

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Review

2002

Review

2002

- James C. Ascough
- 2002

producers use computers and how (or if) new software technology will be used. Agronomists rely increasingly on computers, andâ€¦Â (More)

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Review

2000

Review

2000

This paper assesses the effect of differences in types of client on the use and impact of business advice by SMEs in Britainâ€¦Â (More)

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1999

1999

When customers are classified into ordered categories, which are defined from the outset, it may happen that the majority belongsâ€¦Â (More)

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