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Some Remarks on the “Generalized Event Count” Distribution
Published online by Cambridge University Press: 04 January 2017
Abstract
King (1989) presented the “Generalized Event Count” (GEC) model as a means of dealing with event count data when the analyst is unsure whether the data are “underdispersed” or “overdispersed.” Here I establish several useful properties of the GEC model and make some practical suggestions for estimation.
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- Symposium on the Generalized Event Count Estimator
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- Copyright © Society for Political Methodology