At present, heteroscedastic data can only be analyzed by group test method that requires large sample.
对于异方差问题目前工程上只能采用成组试验方法,因此试验量很大;Secondly, the logarithmic form could overcome the defect of heteroskedasticity of the conditional distribution of normal variables.
其次,对数形式,可以缓解正变量条件分布具有异方差的缺点。The conductive film is provided with a release layer and an anisotropic conductive film.
导电胶膜具有一离型层与一异方型导电胶层。The present normal heteroscedasticity testing means are parameter means, and they call for a certain distribution of the parameter.
异方差现有常规检验方法的大多是参数检验的方法,需要参数服从一定的分布。The generalized autoregressive conditional heteroscedasticity (GARCH) model has the ability to describe the volatility of time series.
广义自回归条件异方差(GARCH)模型具有描述时间序列波动性的能力。Objective To explore the application of heteroscedastic time series model to the analysis of data of infectious diseases.
目的探讨异方差性时间序列模型在传染病疫情数据分析中的应用。Conclusions AR-GARCH model is suitable for analyzing heteroscedastic time-series data of infectious diseases.
结论AR-GARCH模型适用于传染病疫情数据构成的异方差性时序数据分析。The conditional heteroscedasticity is a typical characteristic of finance time series.
条件异方差是金融时间序列变量的一个典型特征。Under this circumstance, Engle brings forward the autoregressive conditional heteroscedasticity model(ARCH) in 1982.
在这种情况下,恩格尔于1982年提出了自回归条件异方差模型,简称ARCH模型。