提出了基于模式识别的微粒计数模型。
The particle count model is given base on pattern recognition.
常用的统计模型主要包括两种：离散选择模型和计数模型。
One is discrete choice models and the other is count data models.
因此，栅栏模型可认为是二分类回归模型和零截尾计数模型的联合。
Therefore, the Hurdle model can be considered the combination of binary regression model and the zero-truncated count model.
文中第一部分阐述了零截尾计数模型的原理、参数估计及其模型应用。
The first chapter of the article introduced the principle of zero-truncated count model, parameter estimation and model application.
采用零截尾计数模型分析，不仅可以解决零截尾计数分布问题，且参数估计结果更准确，拟合效果更合理。
Zero-truncated count model could not only solve the issue of zero-truncated count distribution, but also the parameter estimates were more accurate, the fitting results were more reasonable.
采用零截尾计数模型分析，不仅可以解决零截尾计数分布问题，且参数估计结果更准确，拟合效果更合理。
Zero-truncated count model could not only solve the issue of zero-truncated count distribution, but also the parameter estimates were more accurate, the fitting results were more reasonable.
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