本次英国代写主要为时间序列相关的assignment

描述:
在此作业中,您将找到一个时间序列数据集(最好是公开数据集),并使用
本学期MATH1318时间序列分析课程涵盖的分析方法,准确预测该序列
接下来的10个时间单位,并准备一份全面的分析报告,包括描述性分析,适当的
可视化,模型规格,模型拟合和选择以及诊断检查和解释
结果。
数据的质量将根据研究的原创性和建模难度进行评估。因此,
您将为最终项目选择的时间长度和时间序列的特性由您决定。
在最终项目期间,所有提交的最终项目报告将仅由一名团队成员提交。
演示文稿。您将准备一份报告,其中包括适当的部分,例如简介,结论,附录。
以及每项任务的一章。只要结构合理,结构整齐,报告的结构就由您决定
报告。此处期望的报告不是简短的业务报告或论文。您可以参考RMIT
有关报告的更多信息,请参见此处的资源(https://emedia.rmit.edu.au/learninglab/content/writing-report-0)
写作。具体而言,此处链接中“示例报告结构”下的“科学报告”
(https://emedia.rmit.edu.au/learninglab/content/writing-report-0)可能是预期报告的一个很好的例子。
与其他数据科学比赛一样,例如Datathon(http://www.datasciencemelbourne.com/datathon/),此
任务将像一个真正的数据科学咨询任务。因此,我不会回答有关数据分析或
报告。相反,期望您问自己一个合适和成功数据的要素是什么
分析,以及如何以书面报告格式和口头形式展示结果
推介会。我很乐意谈论有关此任务的一般问题。

Description:
In this assignment, you will find a time series dataset, preferably a public one, and analyse the data by using the
analysis methods covered in MATH1318 Time Series Analysis course this semester, accurately predict the series
for the next 10 units of time, and prepare a comprehensive analysis report including descriptive analysis, proper
visualisation, model specification, model fitting and selection, and diagnostic checking and interpretations of the
results.
The quality of data will be assessed in terms of originality of study and difficulty of modelling. Therefore, the
length and characteristics of the time series you will choose for the final project are just up to you.
All final project reports submitted will be presented by only one of the team members during the final project
presentations. You will prepare a report that includes proper sections such as Introduction, Conclusion, Appendix
and a chapter for each task. The structure of the report is up to you as long as it is a well-structured and neat
report. The report expected here is not a short business report or not an essay. You can refer to the RMIT
resource here (https://emedia.rmit.edu.au/learninglab/content/writing-report-0) for further information on report
writing. Specifically, “Science Report” under “Sample report structures” in the link here
(https://emedia.rmit.edu.au/learninglab/content/writing-report-0) may be a good example for the report expected.
As in other data science competitions, e.g. Datathon (http://www.datasciencemelbourne.com/datathon/) , this
task will be like a real data science consulting task. So, I will not answer specific questions about data analysis or
reporting. Instead, it is expected that you ask yourself what are the elements of a suitable and successful data
analysis, and how you might go about presenting your results in a written report format and as an oral
presentation. I’m happy to talk about general questions on this task.