Simulating comparisons of different computing algorithms fitting zero-inflated Poisson models for zero abundant counts-Reference-Cited by-同舟云学术

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Simulating comparisons of different computing algorithms fitting zero-inflated Poisson models for zero abundant counts

Published:2017-05-22 Issue:13 Volume:87 Page:2609-2621
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Liu Xueyan¹,Winter Bryan¹,Tang Li¹,Zhang Bo²,Zhang Zhiwei³,Zhang Hui¹

Affiliation:

1. Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN, USA

2. Office of Surveillance and Biometrics, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA

3. Department of Statistics, The University of California, Riverside, CA, USA

Funder

ALSAC

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1327590

Reference28 articles.

1. Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of Sequence Count Expression Data

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

3. Regression Analysis of Count Data

4. Microeconometrics

5. Categorical Data Analysis

Cited by 6 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. Approximate Gibbs sampler for efficient inference of hierarchical Bayesian models for grouped count data;Journal of Statistical Computation and Simulation;2024-07

2. Control chart for detecting the scale parameter of the zero‐inflated Poisson model;Quality and Reliability Engineering International;2024-05-06

3. A Study of ZIP and ZINB Regression Modeling for Count Data with Excess Zeros;Journal of Physics: Conference Series;2021-03-01

4. Weighted Score test based EWMA control charts for Zero-Inflated Poisson Models;Computers & Industrial Engineering;2021-02

5. Zero‐inflated modeling part I: Traditional zero‐inflated count regression models, their applications, and computational tools;WIREs Computational Statistics;2020-12-14

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