基于 Poisson 回归模型的交通事故伤亡率研究摘要 本文利用 Poisson 回归模型和统计软件 SPSSAU 通过分析数据来研究如何降低交通事故伤亡率。近几年来，威胁着人们生命安全的重要因素之一是交通事故，其中交通事故的发生存在着很多因素 。为了降低交通事故伤亡率，急需找寻方法来明确影响交通事故伤亡率的相关因素。Poisson 回归模型是一类广义线性回归模型，通过分析因变量来计数数据，并且在医学、生活安全等很多研究领域有着重要应用。本论文在介绍泊松回归模型原理和方法的基础上，进一步研究 Poisson 回归模型在分析交通事故伤亡率上的应用。收集某地区交通事故的统计数据，利用 Poisson 回归模型探究影响交通事故伤亡率的主要因素，进而提出可行性建议，以此来降低交通事故伤亡率[1]p584。关键词 交通事故 伤亡率 Poisson 回归模型 SPSSStudy on the Casualty Rate of Traffic Accident Based on Poisson Regression Model Abstract In this paper, Poisson regression model and statistical software spssau are used to analyze the data to study how to reduce the rate of traffic accident casualties.In recent years, one of the important factors threatening people's life safety is traffic accidents, among which there are many factors. In order to reduce the traffic accident casualty rate, it is urgent to find out the methods to determine the relevant factors that affect the traffic accident casualty rate. Poisson regression model is a kind of generalized linear regression model, which counts data by analyzing dependent variables, and has important applications in many research fields such as medicine and life safety. Based on the introduction of the principle and method of Poisson regression model, this paper further studies the application of Poisson regression model in the analysis of traffic accident casualty rate. Collect the statistical data of traffic accidents in a certain area, use Poisson regression model to explore the main factors affec...
