Censoring heavy-tail count distributions for parameter estimation with an application to stable distributions
Abstract
A new approach based on censoring and moment criterion is introduced for parameter estimation of count distributions when the probability generating function is available even though a closed form of the probability mass function and/or finite moments do not exist.
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