9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook time series (redirected fromMultivariate time series) Thesaurus Financial Encyclopedia n (Statistics)statisticsa series of values of a variable taken in successive periods of time ...
Consider a multivariate regression study of Y|(X,W) where Y is a q×1 response vector, X is a p×1 vector of quantitative predictors and W is a r×1 vector of categorical predictors, where q>1,p>1,r≥1. In this section, we propose a new dimension reduction procedure for this gen...
A Multivariate Mathematical Morphology Based on Orthogonal Transformation, Probabilistic Extrema Estimation and Distance OptimizationMultivariate Mathematical MorphologyPrincipal Component AnalysisColor Image SegmentationMathematical morphology (MM) is a very popular image processing framework, which offers widely-used ...
Appling the multivariate regression S-estimator to the remote reference method, the present work finally derived a set of robust estimates of the TF (eq. 37), noise variances (eq. 41), and the scale of the Mahalanobis distance (eq. 39). These equations constitute a nonlinear system because...
estat compare reports fit statistics of the three transformations available in Procrustean analysis: orthogonal, oblique, and unrestricted. estat mvreg reports the multivariate regression that is related to the current Procrustean analysis. estat summarize reports summary information of the two sets of ...
Using multiple regression to determine the number of factors to retain in factor analysis. Multiple Linear Regression Viewpoints 20, 5–9 (1993). Google Scholar Josse, J. & Husson, F. Selecting the number of components in PCA using cross-validation approximations. Computational Statistics and ...
We also have a stochastic representation for Σ̂12Σ̂22−1, the estimated regression matrix. Theorem 4.4 [20, Theorem 3.6] For arbitrary Σ12 ,Σ̂12Σ̂22−1=LΣ12Σ22−1+Σ11⋅21/2W−1/2KΣ22−1/2,where W and K are independent, W∼Wp(n−q+p−1,Ip)...
This is achieved by a multivariate microsatellites reveal the entire genetic structure, some regression of a 'response' dataset onto an 'explanatory' perceive only particular aspects of the genetic diversity dataset (Ter Braak, 1986). These methods are thus and others are simply not informative in...
2022, Journal of Manufacturing and Materials Processing Quality-Related Root Cause Diagnosis Based on Orthogonal Kernel Principal Component Regression and Transfer Entropy 2021, IEEE Transactions on Industrial Informatics View all citing articles on ScopusView...
This paper gives an introduction to multivariate calibration from a chemometrics perspective and reviews the various proposals to generalize the well-established univariate methodology to the multivariate domain. Univariate calibration leads to relativel