Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications-Reference-Cited by-同舟云学术

Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications

Published:2003-12 Issue:4 Volume:59 Page:1016-1026
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Lu Zudi¹,Hui Yer Van²,Lee Andy H.³

Affiliation:

1. Institute of Systems Science, Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing, China

2. Department of Management Sciences, City University of Hong Kong, Hong Kong

3. Department of Epidemiology and Biostatistics, School of Public Health, Curtin University of Technology, Perth, Australia

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.0006-341X.2003.00117.x

Reference26 articles.

1. A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models

2. Minimum Hellinger Distance Estimates for Parametric Models

3. Sister chromatid exchange data fit with a mixture of Poisson distributions

4. Zero-Inflated Poisson Models and C.A.MAN: A Tutorial Collection of Evidence

Cited by 35 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. Minimum profile Hellinger distance estimation of general covariate models;Computational Statistics & Data Analysis;2025-02

2. A non-classical parameterization for density estimation using sample moments;Statistical Papers;2024-05-20

3. Minimum profile hellinger distance estimation of semiparametric multiple linear regression models;Journal of Statistical Computation and Simulation;2023-03-19

4. E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives;Energies;2022-10-14

5. Semiparametric modelling of two-component mixtures with stochastic dominance;Annals of the Institute of Statistical Mathematics;2022-05-24