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智能手机的统计预测方法

发布时间:2018-03-07 16:43

  本文选题:智能手机 切入点:销量预测 出处:《重庆大学》2014年硕士论文 论文类型:学位论文


【摘要】:通信技术的转型升级,物联网、三网融合产业应用和技术研究的推进,大众对手机应用不断提升的需求,促进手机行业的快速发展。对手机企业来说,把握手机市场的发展与变化,预测智能手机销量,探究行业容量与存量也成为一个有待深思的问题。 本文从智能手机的发展形势与现状分析着手,较为详尽的阐述了几个基本的关键概念、产业发展趋势、行业的销售渠道以及简要技术分析,随后本文作者结合对手机行业的相关了解,总结出智能手机销售市场面临的主导影响因素,,并从中选取若干指标作为销量数据预测的依据。最后通过对智能手机销量的相关预测分析,针对手机厂家提出提升销量的若干改进意见。 本文采用理论与实际相结合的研究方法,以手机行业的数据和研究中实际面临的瓶颈问题为研究素材,运用统计学的相关理论,进行数据的定量预测和预测方法应用的研究。本论文虽是主要针对智能手机行业,但是对同类的电子信息制造产品的研究也具有一定的参考作用。因此本文是具有实际意义的。
[Abstract]:The transformation and upgrading of communication technology, the Internet of things, the promotion of the application of the three networks convergence industry and the development of technology research, the increasing demand of the public for mobile phone applications, and the rapid development of the mobile phone industry. For mobile phone enterprises, Grasping the development and change of the mobile phone market, predicting the sales volume of the smart phone, and exploring the industry capacity and stock also become a problem to be pondered. Based on the analysis of the development situation and current situation of smart phones, this paper elaborates several basic key concepts, industry development trends, industry sales channels and brief technical analysis. Then the author combined with the relevant understanding of the mobile phone industry, summed up the smartphone sales market facing the dominant factors, Some indexes are selected as the basis for forecasting the sales data. Finally, through the analysis of the related prediction of the smartphone sales volume, some suggestions for improving the sales volume are put forward for the mobile phone manufacturers. This paper adopts the research method of combining theory with practice, taking the data of the mobile phone industry and the bottleneck problem in the research as the research material, using the relevant theory of statistics. This paper is mainly aimed at the smart phone industry, but the research on the similar electronic information manufacturing products also has certain reference function. Therefore, this paper is of practical significance.
【学位授予单位】:重庆大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F426.63;F224

【参考文献】

相关期刊论文 前1条

1 陈远;王菲菲;;基于时间序列的电子商务市场预测系统研发[J];情报科学;2009年12期



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