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https://doi.org/10.1080/03610910903202089

has been cited by the following article:

• TITLE: Generalized Method of Moments and Generalized Estimating Functions Based on Probability Generating Function for Count Models

  AUTHORS: Andrew Luong

  KEYWORDS: Mixture Distributions, Consistent Chi-Square Tests, Infinitely Divisible Distributions, Mixture Distributions, Distribution Free Test Statistics, Model Testing

  JOURNAL NAME: Open Journal of Statistics, Vol.10 No.3, June 11, 2020

  ABSTRACT: Generalized method of moments based on probability generating function is considered. Estimation and model testing are unified using this approach which also leads to distribution free chi-square tests. The estimation methods developed are also related to estimation methods based on generalized estimating equations but with the advantage of having statistics for model testing. The methods proposed overcome numerical problems often encountered when the probability mass functions have no closed forms which prevent the use of maximum likelihood (ML) procedures and in general, ML procedures do not lead to distribution free model testing statistics.