correlogram

correlogram

中文翻译：

名词：自相关图，相关图

形容词：自相关的，相关的

英文翻译：

名词：correlogram

形容词：correlogram

形容词含义：

1. 描述或涉及自相关的

2. 描述或涉及相关性的

名词含义：

1. 一种图表形式，用于显示数据序列的自相关性

2. 一种图表形式，用于显示两个变量之间的相关性

3. 一种图表形式，用于显示时间序列数据的相关性

词语辨析：

correlogram与autocorrelation function（自相关函数）的区别在于，correlogram是一种图表形式，用于直观地展示数据的自相关性；而autocorrelation function是一种数学函数，用于计算和度量数据的自相关性。

词汇扩充：

1. correlation：相关性

2. graph：图表

3. time series：时间序列

4. data sequence：数据序列

5. variable：变量

近义词：

1. autocorrelation plot

2. acf plot

3. lag plot

反义词：

1. uncorrelated

2. independence

3. random

柯林斯词典解释：

correlogram (noun)

A graphical representation of the autocorrelation function of a time series.

牛津词典解释：

correlogram (noun)

A graph showing the correlation between variables over time.

用法：

1. The correlogram revealed a strong positive correlation between the two variables.

2. The researcher used a correlogram to analyze the autocorrelation of the data.

3. The correlogram showed a significant correlation between the stock prices and the exchange rate.

相关例句：

1. The correlogram displays the autocorrelation of the time series data.
2. The correlogram revealed a strong positive correlation between the two variables.
3. By analyzing the correlogram, we can identify any patterns or trends in the data.
4. The correlogram showed a significant relationship between temperature and sales volume.
5. Using a correlogram, the researcher was able to determine the lag effect of the variable.
6. The correlogram indicated a high degree of autocorrelation in the data.
7. The correlogram plot helped visualize the correlation between the two variables.
8. Based on the correlogram analysis, there is a seasonal pattern in the data.
9. The correlogram provided insights into the long-term correlation between the variables.
10. The correlogram highlighted the short-term fluctuations in the data.
11. By examining the correlogram, we can determine the appropriate lag for the time series model.
12. The correlogram demonstrated a strong correlation between rainfall and crop yield.
13. The correlogram analysis revealed a significant relationship between the two variables.
14. The correlogram plot showed a clear trend in the data over time.
15. The correlogram indicated a high degree of positive autocorrelation.
16. Using a correlogram, we can assess the presence of seasonality in the data.
17. The correlogram provided evidence of a lag effect in the variable.
18. The correlogram displayed the correlation between the variables at different lags.
19. Based on the correlogram results, there is a strong positive correlation between the variables.
20. The correlogram analysis helped identify the presence of serial correlation in the data.