Stationarity

音标：/ˌsteɪʃəˈnærɪti/

词义：

平稳性：尤其在统计学和时间序列分析中，指的是数据的统计特性（如均值、方差、协方差等）在时间上保持不变。

不变性：广泛地指事物在一段时间内保持稳定的状态。

用法

在统计学中，stationarity表示时间序列中各个时刻的均值、方差等特性保持不变。

在物理学中，指某一系统状态不随时间变化。

例句：

The concept of stationarity is critical in time series forecasting.

For a process to be stationary, its mean and variance must be constant over time.

In statistical modeling, stationarity helps to simplify the analysis of time series data.

The financial market is often modeled as a stationary process under certain assumptions.

A time series is said to be stationary if its properties do not change over time.

We must check for stationarity before applying many time series models.

The test for stationarity involves examining the autocorrelations of the data.

Non-stationary data often need to be transformed before performing analysis.

One of the key assumptions in ARIMA modeling is that the data should be stationary.

The stationarity of the climate data was analyzed before any predictions were made.

短语搭配：

Stationarity assumption（平稳性假设）

Stationary process（平稳过程）

Test for stationarity（平稳性检验）

Stationary time series（平稳时间序列）