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Separation (statistics)

In statistics, separation is a phenomenon associated with models for dichotomous or categorical outcomes, including logistic and probit regression. Separation occurs if the predictor (or a linear combination of some subset of the predictors) is associated with only one outcome value when the predictor range is split at a certain value.

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Overview

The phenomenon

The problem

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Advanced semantic analysis

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Map overview Semantic statistics

Separation (statistics)

Nodes19
Edges18
Triples0
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

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Important terminology Word statistics

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Important terminology

separation regression logistic likelihood associated problems models predictor outcome maximization phenomenon example observed estimation maximum use occurs linear one problem

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc

Related concept clusters Concept neighborhoods

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