Definitions for overdispersion
overdis·per·sion

WiktionaryRate this definition:4.0 / 1 vote

1. overdispersionnoun

   The presence of greater dispersion in a data set than would be expected according to the statistical model in use.

WikipediaRate this definition:0.0 / 0 votes

1. 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. A common task in applied statistics is choosing a parametric model to fit a given set of empirical observations. This necessitates an assessment of the fit of the chosen model. It is usually possible to choose the model parameters in such a way that the theoretical population mean of the model is approximately equal to the sample mean. However, especially for simple models with few parameters, theoretical predictions may not match empirical observations for higher moments. When the observed variance is higher than the variance of a theoretical model, overdispersion has occurred. Conversely, underdispersion means that there was less variation in the data than predicted. Overdispersion is a very common feature in applied data analysis because in practice, populations are frequently heterogeneous (non-uniform) contrary to the assumptions implicit within widely used simple parametric models.

WikidataRate this definition:5.0 / 1 vote

1. Overdispersion

   In statistics, overdispersion is the presence of greater variability in a data set than would be expected based on a given simple statistical model. A common task in applied statistics is choosing a parametric model to fit a given set of empirical observations. This necessitates an assessment of the fit of the chosen model. It is usually possible to choose the model parameters in such a way that the theoretical population mean of the model is approximately equal to the sample mean. However, especially for simple models with few parameters, theoretical predictions may not match empirical observations for higher moments. When the observed variance is higher than the variance of a theoretical model, overdispersion has occurred. Conversely, underdispersion means that there was less variation in the data than predicted. Overdispersion is a very common feature in applied data analysis because in practice, populations are frequently heterogeneous contrary to the assumptions implicit within widely used simple parametric models.

How to pronounce overdispersion?

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How to say overdispersion in sign language?

Numerology

1. Chaldean Numerology

   The numerical value of overdispersion in Chaldean Numerology is: 5

2. Pythagorean Numerology

   The numerical value of overdispersion in Pythagorean Numerology is: 8

References

1. ^ Wiktionary
   https://en.wiktionary.org/wiki/Overdispersion
2. ^ Wikipedia
   https://en.wikipedia.org/wiki/Overdispersion
3. ^ Wikidata
   https://www.wikidata.org/w/index.php?search=overdispersion