针对甄别影响销售区域的主要商品,首先建立贝叶斯判别模型找出了不同销售区域的判别依据,接着通过改变6种商品的支出额建立了判别误差波动模型,通过MATLAB编程蒙特卡罗随机试验,找到了影响销售区域的主要商品,并给出了经营管理的有力建议。
For the screening of major commodities in regional sales, we first established a Bayesian discrimi- nant model to identify discrimination based on different sales regions, followed by the establishment of discrimination error volatility models by changing expenditure six kinds of goods. Through MATLAB programming Monte Carlo randomized tri- al, a way was found to affect the sales area and the major commodity was found, which as well gave a strong recommenda- tion management.