Locally efficient semiparametric estimator for zero-inflated Poisson model with error-prone covariates-Reference-Cited by-同舟云学术

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Locally efficient semiparametric estimator for zero-inflated Poisson model with error-prone covariates

Published:2020-11-18 Issue:6 Volume:91 Page:1092-1107
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Liu Jianxuan¹²^ORCID,Eftekharnejad Sara³

Affiliation:

1. Department of Mathematics, Syracuse University, Syracuse, NY, USA

2. Center for Policy Research, Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, NY, USA

3. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA

Funder

Syracuse University

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2020.1840569

Reference18 articles.

1. Generalized Linear Models

2. NERC Steering Group. Technical analysis of the August 14, 2003, blackout: what happened, why, and what did we learn. Technical Report; 2004.

3. Simulation of the September 8, 2011, San Diego blackout

4. Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing

5. Statistical Inference Based on a General Model of Unobserved Heterogeneity

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities;Environmetrics;2024-05-02

2. A semiparametric method for evaluating causal effects in the presence of error‐prone covariates;Biometrical Journal;2021-04-21

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