Posted on Categories:Time Series, 数据科学代写, 时间序列, 统计代写, 统计代考

# 统计代写|时间序列分析代写Time-Series Analysis代考|STAT356 What is a Time Series?

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## 统计代写|时间序列分析代写Time-Series Analysis代考|What is a Time Series?

Time series is a collection of observations taken at equal time interval. A time series is a collection of observations or data obtained for a specific variable during a specific, defined and sequence time intervals. In a time series model, observations of a variable are recorded against equal time intervals.

In statistics two types of models are used to analyze data series. They are causal models and time series models. (Regression analysis falls under the category of causal models. In regression analysis, variables are identified as independent and dependent variables.)

If the observations of time periods of $t_1, t_2 \ldots t_n$ are identified as $Y_1, Y_2$ $\ldots Y_n$, then $Y_1, Y_2 \ldots Y_n$ is called a time series. $t_1, t_2 \ldots t_n$ are equal time periods. $Y_1, Y_2 \ldots Y_n$ are observations. $Y_1, Y_2 \ldots Y_n$ is also called an array of time series. Array of time series can be represented by $Y_t\left(Y_t\right.$, where $t=1,2 \ldots n$ ).
The function of the relationship between time ( $\mathrm{t})$ and the observations of the variable $(\mathrm{Y})$ is $\mathrm{Y}=\mathrm{f}(\mathrm{t})$.
When the time series is lengthy, then the time series analysis is more accurate. But there is short term, medium and long term forecasting methods in time series data analysis. Applying the suitable time series method for the data set increases the accuracy of the analysis.

## 统计代写|时间序列分析代写Time-Series Analysis代考|Time Series Components

It is assumed that fluctuations of a time series are due to coinciding four types of variations. They are

1. Long Term Trend
2. Seasonal variation
3. Cyclical variation
4. Irregular variations
Above four are called components of a time series. Components of time series are used to describe the variation of a time series. Some argues irregular variations are not a component.
Trend shows a long term increment or decrement of data series. Seasonal variation show similar repetitive patterns during similar (equivalent) and sequential time periods. In seasonal patterns data series is influenced by seasonally fluctuated data. Seasonal temperature of a country during few years shows seasonal patterns. Cyclic patterns are the alternative upward and downward movements in a time series plot. This can also be identified as recurring sequences of points above and below the trend line lasting at least over one year.

Irregular pattern is a time series with random effect. These types of patterns can happen due to unexpected shocks/influenced/reasons. They can also be identified as residuals or deviations from actual time series. Outliers also fall into this category.

## 统计代写|时间序列分析代写时间序列分析代考|时间序列组件

. 假设时间序列的波动是由于四种类型的变化重合造成的。它们是

1. 长期趋势
2. 季节变化
3. 周期变化
4. 不规则变化
以上四个称为时间序列的分量。时间序列的分量用来描述时间序列的变化。一些人认为不规则的变化不是一个组成部分。
趋势表示数据序列的长期增减趋势。在相似(等价)和连续的时间段内，季节变化显示出类似的重复模式。在季节性模式中，数据序列受季节性波动数据的影响。一个国家几年的季节温度表现出季节性的模式。循环模式是时间序列图中向上和向下的交替运动。这也可以被识别为在趋势线上方和下方重复出现的点序列，至少持续一年以上。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。