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SEM is a multivariate technique combining aspects of multiple regression and factor analysis and thus testing underlying factors and hypotheses simultaneously in the same analysis [ 76, 78].
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Structural equation modelling is a multivariate technique that combines factor analysis and multiple regressions to simultaneously examine a series of interrelated dependence relationships among measured variables and latent variables as well as several latent constructs (Hair et al., 2009).
Many of the developments discussed in this review can be combined, the results can then be analyzed using multivariate techniques or combined with information from other imaging techniques using cross correlation analysis (Sinha et al. 2008).
The passive sampling technique combined with multivariate statistical analysis has proved to be a useful approach to assessing groundwater quality, with a substantially cheaper and more effective monitoring design than the more commonly used monitoring methods.
An attempt has been made to recognize and differentiate Pu-erh green tea samples having different mountains of origin using HS-SPME extraction technique combined with GC-MS and multivariate statistical analyses.
Schadt's technique combines two research approaches.
Recent advances towards automated and high-throughput techniques, combined with multivariate data analysis, are increasingly providing relevant process knowledge in near real-time.
Infrared spectroscopic (IRS) techniques combined with multivariate calibration methods are primarily used for on-line analysis, in situ sensors or automatic sampling.
This method has been combined with a graphical multivariate technique (biplot), which groups segments according to their seasonality characteristics.
SEM is a multivariate technique that allows the simultaneous estimation of multiple equations.
Another multivariate technique common in systems biology is clustering.
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