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Overdispersion

In statistics, overdispersion is the presence of greater variability (statistical dispersion) in a data set than would be expected based on a given statistical model.

Products, Examples & Differences in terminology among disciplines

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Differences in terminology among disciplines

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Map overview Semantic statistics

Overdispersion

Nodes44
Edges43
Triples14
Avg. degree1.95
Density0.045455
Components1

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Overdispersion

Top relations

related to Poisson · 6
Overdispersion → For, If, In, Poisson, The, The Poisson
related to Differences in terminology among disciplines · 5
Overdispersion → Generally, In, Over, Such, This
is a · 3
Overdispersion → feature, presence of greater variability, very common feature in applied data analysis because in practice

Important terminology Word statistics

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Important terminology

model distribution data variance normal binomial fit expected mean poisson parameter random given empirical parameters higher theoretical one free example

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Overdispersionis apresence of greater variability0.90text
Overdispersionis avery common feature in applied data analysis because in practice0.90text
Overdispersionis afeature0.90text
Overdispersionrelated to Differences in terminology among disciplinesOver0.60section
Overdispersionrelated to Differences in terminology among disciplinesIn0.60section
Overdispersionrelated to Differences in terminology among disciplinesThis0.60section
Overdispersionrelated to Differences in terminology among disciplinesSuch0.60section
Overdispersionrelated to Differences in terminology among disciplinesGenerally0.60section
Overdispersionrelated to PoissonPoisson0.60section
Overdispersionrelated to PoissonThe Poisson0.60section
Overdispersionrelated to PoissonThe0.60section
Overdispersionrelated to PoissonFor0.60section

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    Min side: 3
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