scholarly journals Application of Multivariate Data Analysis Techniques for the Portable Isotopic Neutron Spectroscopy System

2017 ◽  
Author(s):  
D. Lee ◽  
C. J. Wharton ◽  
B. Bucher ◽  
A. J. Caffrey ◽  
K. M. Krebs ◽  
...  
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Neutron Spectroscopy ◽  
Analysis Techniques ◽  
Spectroscopy System

Identification of Adulteration of Gasoline Applying Multivariate Data Analysis Techniques HCA and KNN in Chromatographic Data

2005 ◽  
Vol 19 (6) ◽  
pp. 2350-2356 ◽  
Author(s):  
Vinicius L. Skrobot ◽  
Eustáquio V. R. Castro ◽  
Rita C. C. Pereira ◽  
Vânya M. D. Pasa ◽  
Isabel C. P. Fortes
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Chromatographic Data ◽  
Analysis Techniques

scholarly journals Development of a PC Program for Multivariate Statistical Analysis

2017 ◽  
Vol 27 (4) ◽  
pp. 291 ◽  
Author(s):  
Pham Ngoc Son ◽  
Cao Dong Vu ◽  
Mai Quynh Anh
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Nuclear Research ◽  
Multivariate Statistical ◽  
Nuclear Research Institute ◽  
Data Set ◽  
Analysis Techniques ◽  
Preliminary Version

This report introduces a new computer program, having been developed initially at the Nuclear Research Institute at Dalat, for the multivariate data analysis techniques. In this preliminary version of the program, the size of a given data set to be analyzed is up to 50 variables and thousand observations, and can be used to perform some of the multivariate data analysis techniques such as principle component analysis, cluster analysis and data standardization. In comparison with other statistical analysis software, the same results are highly reproduced with MSAP.

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