successive differences

successive differences的基本解释

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递差

与successive differences相关的网络例句 [注：此内容来源于网络，仅供参考]

There are successive significant differences between novice and expert, and the built-in input devices.

4选取与拖曳文字在操作时间中，初学者和专家级与内建输入装置有显著差异。

If the initial time series is not stationary it may be that some function of the time series, e.g. taking the differences between successive values, is stationary.

如果初始的时间序列不是平稳的，那么它可以对时间序列使用一些方法，例如，感受连续稳定的数据的差异。

Taking the differences between successive values, is stationary.

在适合一个ARIMA 模型对时间数列数据框架通常被使用是一种箱子Jenkins 方法。

One half of the time average over the sum of the squares of The differences between successive readings of the frequency deviation sampled over the sampling period.

取样期内，被采样的频率离差的连续两次读取差值的平方总和。

To apply ARIMA models the time series needs to be stationary. A stationary time series is one whose statistical properties such as mean, variance and autocorrelation are constant over time. If the initial time series is not stationary it may be that some function of the time series, e.g. taking the differences between successive values, is stationary.

运用ARIMA模型时时间序列必须是固定的，一组固定的时间序列是它的统计特性诸如平均值＼差异和自相关等随着时间的推移而始终不变，如果最初的时间序列不固定这是由它的某些函数引起的，以序列值之间的差额为例，它们是固定的

与successive differences相关的网络解释 [注：此内容来源于网络，仅供参考]

successive differences：逐次差分

successive diagonalization 逐次对角化 | successive differences 逐次差分 | successive elimination 逐次消元去

successive differences：连续差值

"successive approximation","渐近法" | "successive differences","连续差值" | "suction cleaner","吸尘器"

逐次对角化successive differences 逐次差分：successive diagonalization

successive approximation 逐次逼近法 | successive diagonalization 逐次对角化successive differences 逐次差分 | successive elimination 逐次消元去