The Journal of Nonlinear Sciences and Applications · 2018 · 29 citations · 10 references
Natural SciencesMathematicsProbability TheoryStatisticsStochastic ModelingHypothesis TestingInferential StatisticsLikelihood EstimationMaximum Likelihood EstimationProbability DistributionsStatistical InferenceChi-square Goodness-of-fit TestGoodness-of-fitGoodness-of-fit AssessmentGoodness-of-fit TestingIdentically Distributed Random VariablesPoisson DistributionPoisson Maximum Likelihood EstimationPoisson Models
We study a new family of distributions defined by the minimum of the Poisson random number of independent and identically distributed random variables having the Topp Leone-G distribution. Some mathematical properties of the new family are derived. Maximum likelihood estimation of the model parameters is investigated. Two special models of the new family are discussed. We perform three applications to real data sets to show the potentiality of the proposed family. In order to test the validity of the new family, a modified Chi-squared goodness-of-fit test based on Nikulin-Rao-Robson statistics is proposed theoretically.
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