Please use this identifier to cite or link to this item: https://doi.org/10.1080/02664760903456426
Title: Outlier identification and robust parameter estimation in a zero-inflated Poisson model
Authors: Yang, J.
Xie, M. 
Goh, T.N. 
Keywords: Outlier identification
Robust estimation
Trimmed mean
Winsorized mean
Zero-inflated Poisson distribution
Issue Date: Feb-2011
Source: Yang, J., Xie, M., Goh, T.N. (2011-02). Outlier identification and robust parameter estimation in a zero-inflated Poisson model. Journal of Applied Statistics 38 (2) : 421-430. ScholarBank@NUS Repository. https://doi.org/10.1080/02664760903456426
Abstract: The Zero-inflated Poisson distribution has been used in the modeling of count data in different contexts. This model tends to be influenced by outliers because of the excessive occurrence of zeroes, thus outlier identification and robust parameter estimation are important for such distribution. Some outlier identification methods are studied in this paper, and their applications and results are also presented with an example. To eliminate the effect of outliers, two robust parameter estimates are proposed based on the trimmed mean and theWinsorized mean. Simulation results show the robustness of our proposed parameter estimates. © 2011 Taylor & Francis.
Source Title: Journal of Applied Statistics
URI: http://scholarbank.nus.edu.sg/handle/10635/63250
ISSN: 02664763
DOI: 10.1080/02664760903456426
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