A copula approach for testing independence between poisson distributed variables-Reference-Cited by-同舟云学术

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A copula approach for testing independence between poisson distributed variables

Published:2018-01-02 Issue:1 Volume:4 Page:9-17
ISSN:2373-7484
Container-title:Communications in Statistics: Case Studies, Data Analysis and Applications
language:en
Short-container-title:Communications in Statistics: Case Studies, Data Analysis and Applications

Author:

Bower Roy¹,Hussey James R.²,Zhang Jiajia²,Quattro Joe³,Cipolli William⁴,Hardin James W.²

Affiliation:

1. Department of Mathematics, Xavier University, Cincinnati, OH, USA

2. Department of Epidemiology and Biostatistics, University of South Carolina

3. Marine Science Program, University of South Carolina

4. Department of Mathematics, Colgate University, Hamilton, NY, USA

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics and Probability,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/23737484.2018.1450688

Reference11 articles.

1. On Concordance Measures for Discrete Data and Dependence Properties of Poisson Model

2. Modelling the differences in counted outcomes using bivariate copula models with application to mismeasured counts*

3. Regression Analysis of Count Data

4. A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia

5. A new bivariate generalized Poisson distribution

Cited by 1 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. Testing independence between discrete random variables;Communications in Statistics - Theory and Methods;2021-06-03

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