摘要
We present a semi-parametric method for testing mixing distributions in the mixed Poisson model. The proposed method, which is based on the generalized method of moments, does not demand the complete specification of the probability function but only requires a specification of a set of moment conditions which the model should satisfy. We demonstrate that an explicit expression for moment relations between the mixing and the mixed distributions provides a natural way in selecting moment restrictions and model parameterization. The Monte Carlo evidence suggests that the test has satisfactory performance for moderate size samples.
源语言 | 英语 |
---|---|
页(从-至) | 2829-2839 |
期刊 | Computational Statistics & Data Analysis |
卷 | 52 |
期 | 5 |
DOI | |
出版状态 | 已出版 - 2008 |
Corresponding author email
yfang@darkwing.uoregon.edu关键词
- Mixed Poisson distribution
- Model specification
- Monte Carlo simulation
- Semi-parametric method
成果物的来源
- ABDC-A
- SCIE
指纹
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Fang, Y. (2008). Semi-parametric specification tests for mixing distributions. Computational Statistics & Data Analysis, 52(5), 2829-2839. https://doi.org/10.1016/j.csda.2007.10.015