Quality Evaluation of Arnebiae Radix Using Multiple Qualitative and Quantitative Methods Coupled with Multivariate Statistical Analysis

2013 ◽  
Vol 9 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Min Cheng ◽  
Qi-gui Mo ◽  
Yun Xu ◽  
Jun Tang
1995 ◽  
Vol 1 (2-3) ◽  
pp. 97-104 ◽  
Author(s):  
S. Porretta

The physico-chemical properties of commercial canned whole tomatoes (i.e., peeled tomatoes with about 30% tomato juice as packing medium) and the contribution of various analytical parameters to some sensory attributes were evaluated using multivariate statistical analysis. In addition, cluster analysis was used to determine the existence of significant qualitative differences between the old and famous San Marzano variety (as described on the commercial labels by the manufacturers) and traditional (without any specification on the tomato variety) canned whole tomatoes.


2019 ◽  
Vol 84 (12) ◽  
pp. 3411-3417 ◽  
Author(s):  
Haibo Yuan ◽  
Xiaoqiang Chen ◽  
Yundong Shao ◽  
Yong Cheng ◽  
Yanqin Yang ◽  
...  

2015 ◽  
Vol 7 (8) ◽  
pp. 3395-3401 ◽  
Author(s):  
Qiao-Jia Fan ◽  
Jin-Liang Liu ◽  
Lei Sun ◽  
Shun-Lin Zheng ◽  
Ji-Chao Yuan ◽  
...  

An LC-ESI-Q-TOF MS/MS method coupled with multivariate statistical analysis was developed for chemical fingerprinting of Cyathula officinalis Kuan.


Author(s):  
James D. Fearon ◽  
David D. Laitin

This article describes how qualitative and quantitative tools can be used jointly to strengthen causal inference. It first outlines the findings of statistical analysis of civil war onsets. It then addresses the different criteria for choosing which narratives to tell. A method for structuring narratives that is complementary to the statistical work is reported. Next, the article shows in light of narrative findings the incompleteness of the statistical models that are initially ran. One narrative is emphasized as an example of its potential yield. It underlines some surprises and advantages of the random narrative approach. There are general lessons as well to be learned from the random narrative exercise. The random narrative method allows the assessment of measurement error for variables that are hard to code reliably across large numbers of cases.


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