Estimation in zero-inflated binomial regression with missing covariates

被引：11

作者：

Diallo, Alpha Oumar ^{[1
,2
]}

Diop, Aliou ^{[1
]}

Dupuy, Jean-Francois ^{[2
]}

机构：

[1] Gaston Berger Univ, LERSTAD, CEA, MITIC, St Louis, Senegal

[2] Univ Rennes, INSA Rennes, CNRS, IRMAR,UMR 6625, F-35000 Rennes, France

来源：

STATISTICS | 2019年 / 53卷 / 04期

关键词：

Asymptotics; count data; excess of zeros; inverse-probability-weighting; GENERALIZED LINEAR-MODELS; PROPORTIONAL HAZARDS REGRESSION; MAXIMUM-LIKELIHOOD ESTIMATOR; POISSON REGRESSION; ASYMPTOTIC PROPERTIES; INCOMPLETE COVARIATE; LOGISTIC-REGRESSION; WEIGHTED ESTIMATORS; COUNT DATA; INFERENCE;

D O I：

10.1080/02331888.2019.1619741

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：839 / 865

页数：27

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