Definition of Overdispersion. Meaning of Overdispersion. Synonyms of Overdispersion

Here you will find one or more explanations in English for the word Overdispersion. Also in the bottom left of the page several parts of wikipedia pages related to the word Overdispersion and, of course, Overdispersion synonyms and on the right images related to the word Overdispersion.

Definition of Overdispersion

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Meaning of Overdispersion from wikipedia

- In statistics, overdispersion is the presence of greater variability (statistical dispersion) in a data set than would be expected based on a given statistical...
- that the observed variance is greater than the mean; this is known as overdispersion and indicates that the model is not appropriate. A common reason is...
- distribution of it, known as phylogenetic overdispersion (Webb et al., 2002). The reverse of phylogenetic overdispersion is phylogenetic clustering in which...
- linear models. Quasi-likelihood estimation is one way of allowing for overdispersion, that is, greater variability in the data than would be expected from...
- statistics, empirical Bayes methods and classical statistics to capture overdispersion in binomial type distributed data. The beta-binomial is a one-dimensional...
- Compound distributions are useful for modeling outcomes exhibiting overdispersion, i.e., a greater amount of variability than would be expected under...
- biodiversity research for analyzing count data where overdispersion is very common. This is because overdispersion is indicative of biological aggregation, such...
- distribution; otherwise, it simply has a wide peak. Further, it will exhibit overdispersion relative to a single normal distribution with the given variation. Alternatively...
- where a solute comes out of solution in the form of floccules or flakes Overdispersion or statistical aggregation, where the variance of a distribution is...
- probability distributions. If τ exceeds 1, the model is said to exhibit overdispersion. The binomial case may be easily extended to allow for a multinomial...