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Estimation in zero-inflated binomial regression with missing covariates
Authors:Alpha Oumar Diallo  Aliou Diop
Affiliation:1. LERSTAD, CEA-MITIC, Gaston Berger University, Saint Louis, Senegal;2. Univ Rennes, INSA Rennes, CNRS, IRMAR - UMR 6625, F-35000 Rennes, France
Abstract:We investigate inverse-probability-weighted (IPW) maximum likelihood estimation in zero-inflated binomial regression with missing-at-random covariates. Large sample properties (consistency, asymptotic normality) of the IPW estimator are established. Finite sample properties are assessed via simulations. The methodology is illustrated on a real data set.
Keywords:Asymptotics  count data  excess of zeros  inverse-probability-weighting
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