With the rapid development of science and technology, embedded mission systems have also penetrated into various industries such as scientific research and military technology. The more and more complex tasks and higher frequency of use also make the embedded task system need to deal with a larger number of related tasks. For the general multiple linear regression analysis based on simple random sampling, we used four different weights to carry out four different modeling, and finally found that they are different in principle and the results of the simulation study, which attracted the attention of researchers. This paper analyzes the status quo of the marketing management of the Z company and improves the marketing management of the Z company. In this process, it summarizes the problems that the Z company has in the marketing management. Among them, the most deadly is that its marketing management concept is somewhat biased. Company Z has invested too much in the development of new customers and insufficient attention to old customers, leading to serious loss of customers and high marketing costs. In addition, the company only pays attention to the improvement of product quality, not enough publicity in terms of brand value, ignoring the huge impact of brand value on overall marketing. The company adopts a non-differentiated marketing concept and cannot meet the different needs of market customers in a timely manner. By improving the Gaussian mixture model commonly used in dynamic panel systems, the error can be reduced and the excessively distorted scale identification test can be corrected. The improved Gaussian mixture model has a better estimation of the limited sample properties.

随着科学技术的飞速发展，嵌入式任务系统也渗透到了科研、军事技术等各个行业。越来越复杂的任务和越来越高的使用频率也使得嵌入式任务系统需要处理更多的相关任务。对于一般的基于简单随机抽样的多元线性回归分析，我们使用四种不同的权重进行四种不同的建模，最终发现它们在原理和模拟研究的结果上都不同，引起了研究者的注意。本文分析了Z公司营销管理的现状,改进了Z公司的营销管理。在这个过程中，总结了Z公司在营销管理上存在的问题。其中，最为致命的是其营销管理理念有些偏颇。Z公司在新客户开发上投入过多，对老客户关注不够，导致客户流失严重，营销成本高。此外，公司只注重产品质量的提升，在品牌价值方面宣传不够，忽视了品牌价值对整体营销的巨大影响。公司采用无差别营销理念，不能及时满足市场客户的不同需求。通过改进动态面板系统中常用的高斯混合模型，可以减少误差，纠正过度失真的尺度识别测试。