【摘要】 目前一些矿山企业的尘肺病情况仍然较为严重,对其进行预测研究十分必要。通过对矿山企业尘肺病例数作离散变量的分析,提出了用随机性研究来描述尘肺病例数的变化过程,并推导了相应的数学模型。应用该数学模型对某矿山企业的尘肺病统计数据进行了回归计算,确定了回归方程。根据其回归方程,分析预测了该企业未来五年的尘肺病例的发展情况。更多还原

【Abstract】 Pneumoconiosis is one of the main occupational hazards in mine enterprises in China. At present, the hazard is still very serious in some enterprises, it is very important to make predictive study on the pneumoconiosis. This paper put forward that the random method should be employed to describe the quantity change process of pneumoconiosis in mine enterprise after approving that the pneumoconiosisquantity cases is dispersed variable, the relevant math model is also deduced. Applying the math model, the regression equation is determined by further regress calculation on the pneumoconiosis statistic data of one operating mine. On the basis of the regression equation, the developing situation for the following five years of the enterprise is calculated and analyzed in this paper.更多还原