序列相关系数

词组短语

serial correlation coefficient

与序列相关系数相关的网络例句 [注：此内容来源于网络，仅供参考]

The analysis of the continuous property of raw silk size Setting the decaying rateλand the quasi-cycle value T in the model of the silk size autocorrelation coefficient, building the time series of a single cocoon reeling silk size with autoregressive model, then by combining k such time series according to different phrase, obtained time series of the raw silk size, and finally count up the silk size deviation of the time series.

利用一理想化的正弦波模型生成一粒缫生丝纤度时间序列，通过调查该模型中波动幅度及波动周期的变化对自相关系数序列衰减率的影响，初步建立起一粒缫生丝纤度自相关系数列衰减率λ与纤度时间序列特征数之间的关系式。从而使我们可以生成具有要求连续性特征的生丝纤度时间序列，为进一步研究生丝纤度连续性特征提供了新的途径。

We studied China and fluctuation in business cycle with statistical methods for the first time roundly and systematically, including coefficient correlation, linear regression, turning point coefficient, autocorrelation coefficient, grey system theory, VAR and time series analysis.

第一次全面系统运用统计学方法研究我国经济周期波动，包括相关系数法、一元和多元回归、转折点系数检验、自相关系数检验、灰色关联度、VAR向量自回归和确定性时间序列等方法，第一次把灰色关联分析方法应用于经济周期波动研究。

Four characteristic parameters, mean value, variation coefficient, skewnesscoefficient and first-order autocorrelation coefficient, of these precipitation series areestimated with classical statistics.

利用经典统计学理论计算了研究区域上样本站和检验站的年降水序列的特征参数——均值、变差系数、偏态系数和一阶自相关系数。

The analysis of the continuous property of raw silk size Setting the decaying rate^and the quasi-cycle value T in the model of the silk size autocorrelation coefficient, building the time series of a single cocoon reeling silk size with autoregressive model, then by combining k such time series according to different phrase, obtained time series of the raw silk size, and finally count up the silk size deviation of the time series.

k粒缀生丝纤度连续性特征解析设定生丝纤度自相关系数模型中衰减率A与拟似周期T的值，用自回归预测模型生成一粒缨生丝纤度时间序列，然后将k个这样的序列以不同位相并合得到卜粒缥生丝纤度序列，统计该序列的生丝纤度偏差。

Fourthly, it discusses the spectral image loss-less compression by applying thecorrelation and the entropy of the spectral image sequence. It gives and analyses three expressions of imaging spectrometer images, and tells the change in correlation coefficient and entropy for different expressions. At last, it puts forward D2PCM de-correlation method to reduce the spatial and spectral redundancy. This method improves the compression ratio and the compression efficiency, being easy and fast in operation.

根据成像光谱图像的空间、谱间相关性和信息熵的特征，提出成像光谱图像序列的三种表示方法，分析了不同表示方法的相关系数和图像信息熵的变化，并研究出了成像光谱图像的无损压缩方法，即利用D~2PCM方法对光谱图像序列进行去相关处理，同时降低图像的空间和谱间冗余，在提高了无损压缩的压缩比和压缩效率的同时，算法具有简单快速的优点。

Fourthly, it discusses the spectral image loss-less compression by applying thecorrelation and the entropy of the spectral image sequence. It gives and analyses three expressions of imaging spectrometer images, and tells the change in correlation coefficient and entropy for different expressions. At last, it puts forward D2PCM de-correlation method to reduce the spatial and spectral redundancy.

根据成像光谱图像的空间、谱间相关性和信息熵的特征，提出成像光谱图像序列的三种表示方法，分析了不同表示方法的相关系数和图像信息熵的变化，并研究出了成像光谱图像的无损压缩方法，即利用D~2PCM方法对光谱图像序列进行去相关处理，同时降低图像的空间和谱间冗余，在提高了无损压缩的压缩比和压缩效率的同时，算法具有简单快速的优点。

The method of time-frequency analysis and AR, MA and ARMA models of the correlation coefficient stationary process are presented in this paper.

本文提出了相关系数AR，MA和ARMA序列的概念，建立了相关系数平稳过程的时频分析方法。

On the basis of correlation coefficient stationary process ,this paper gives the definition of multi-dimensional correlation coefficient steady process and introducts the series of multi-dimensional correlation coefficient steady process.

在相关系数平稳过程的基础上，给出多维相关系数平稳过程的定义，建立了新的多维相关系数序列的理论和方法，给出了多维相关系数序列的极大似然估计。

We shall conclude that autocorrelation fluctuate from period to period, and amplitude of correlation variation is decreasing and tending to zero. This implicate that the markt is coming more efficiency with the lapse of time, and the market efficiency is undulatory authentically.

检验结果发现，序列相关系数呈现波动性特征，但波动幅度随着时间的推移越来越小，向零收敛，这一方面证明市场效率的波动性，另一方面说明市场的渐近有效性。

In addition, the summer AO mode changes much between before and after the abrupt change, especially the pleion in the East Asian land.

从夏季AO指数和EASM指数奇异谱分析的重建序列中发现，它们的长期趋势以及准20-30a周期的重建序列的相关系数较高，而它们的年际的周期的重建序列的相关系数不显著。

与序列相关系数相关的网络解释 [注：此内容来源于网络，仅供参考]

circular serial correlation coefficient：循环的序列相关系数

圆环 circular ring | 循环的序列相关系数 circular serial correlation coefficient | 循环检定 circular test

serial correlation coefficient：序列相关系数

serial correlation 自相关 | serial correlation coefficient 序列相关系数 | series 级数

die out：消失

实验结果 依时间序列理论,不论是正相关或负相关,随著lag数的增加自我相关系数有随著时差之增加而渐渐消失(die out)或在某一特殊时差k=q之后切断(Cut off)之趋势(即当所有k>q时,)以时间序列分析法应用在台湾一等二级水准网测段闭合差上,

partial serial correlation coefficient：偏序列相关系数

partial sequence 部分序列 | partial serial correlation coefficient 偏序列相关系数 | partial short-circuit 局部短路

serial correlation：自相关

sequentially complete space 序列完备空间 | serial correlation 自相关 | serial correlation coefficient 序列相关系数

Vasicek entropy-based test of normality：的以熵为基础之常态性检定

序列变异图 variogram | Vasicek的以熵为基础之常态性检定 Vasicek entropy-based test of normality | 向量余相关系数 vector alienation coefficient

weighting function：(加)权函数

将互相关系数推广到自相关系数,时间序列的自相关系数推广到空间序列的自相关系数,最后采用加权函数(weighting function)代替滞后函数(lag function),将一维空间自相关系数推广到二维空间自相关系数,即可得到Moran指数.