Study on the potential chemical markers for the discrimination between raw and processed Schisandrae Chinensis Fructus using UPLC-Q-TOF/MS coupled with multivariate statistical analyses

2020 ◽  
Vol 19 ◽  
pp. 100311 ◽  
Author(s):  
Lianlin Su ◽  
Xiyan Ding ◽  
Xue Cheng ◽  
Ping Li ◽  
Ziyan Huang ◽  
...  
Keyword(s):  
Statistical Analyses ◽  
Chemical Markers ◽  
Multivariate Statistical Analyses ◽  
Multivariate Statistical ◽  
Tof Ms

scholarly journals Principal components analysis of employment in Eastern Europe

2006 ◽  
Vol 53 (4) ◽  
pp. 427-437 ◽  
Author(s):  
Mirko Savic
Keyword(s):  
Eastern Europe ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Statistical Analyses ◽  
Multivariate Methods ◽  
Eastern European ◽  
Multivariate Statistical Analyses ◽  
Multivariate Statistical ◽  
Full Picture ◽  
Components Analysis

For the last decade, the employment structure is one of the fastest changing areas of Eastern Europe. This paper explores the best methodology to compare the employment situations in the countries of this region. Multivariate statistical analyses are very reliable in portraying the full picture of the problem. Principal components analysis is one of the simplest multivariate methods. It can produce very useful information about Eastern European employment in a very easy and understandable way.

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