A principal component analysis (PCA) was applied to a complete annual dataset of filtered EVI2 images (based on a 12-year average over the 2001–2012 period). There was about 99% variance concentration in the first three components, with the respective loading responses and distributions (...
day. Each column of the data matrix stands for a station time series, with each element of the column represent this station solution at each day. Assuming the network time series consist of m days and n stations, the data matrix is a (m x n) matrix, usually m > n. The SVD of ...
Principal components analysis, which is also referred to as proper orthogonal decomposition in the literature. is a useful technique in many fields of engineering, science, and mathematics for analysis of time-series data. The benefit of principal components analysis for dynamical systems comes from ...
1.This paper intends to give the methods of principal components analysis for the instant planar data and global principal components analysis for the multidimensional dynamic data system in the environmental evaluation,especially focuses on the synthesis and simplification of the sequential solid datasheet...
摘要: In addition to the autoregressive models described above, which are used for instance in the form of GARCH models when modeling volatility, a further technique of time series analysis, called principal component analysis (abbreviated as PCA), is widely applied in the financial world....
aIn that case, principal components analysis provides a convenient way of extracting a low-dimensional vector of common factors fromthe original data set xt (Stock and Watson, 2002a,b). 在那个案件,主要成分分析提供提取公因子低尺寸传染媒介一个方便方式从原始的数据集xt (股票和华森, 2002a, b)。
a数值预测包括曲线拟合、时间序列、灰色模型、ARMA模型以及马尔科夫链等,主成分分析包括协方差的计算方法和使用相关软件的方法,聚类分析 Value forecast including curve fitting, time series, pessimistic model, ARMA model as well as Markov chain and so on, principal components analysis including covariance ...
Utilizing Principal Components Analysis (PCA), the existence and character of month-to-month modes in October-June precipitation variability are investigated for the Downtown Los Angeles, California station. Period of record is the 1877-78 through 2003-2004 seasons, a 127-year history. Preliminary ...
[translate] aForecasting using principal components from a large number of predictors. 预测使用主要成分从很大数量的预报因子。[translate]
adeucation deucation[translate] aForecasting using principal components from a large number of predictors. Journal of the American Statistical Association 97, 1167-1179. 预测使用主要成分从很大数量的预报因子。 美国统计协会97学报日1167-1179。[translate]...