Statistical Uncorrelation Analysis

Author(s):  
David Zhang ◽  
Xiao-Yuan Jing ◽  
Jian Yang
Keyword(s):  

This chapter shows a special LDA approach called optimal discrimination vectors (ODV), which requires that every discrimination vector satisfy the Fisher criterion. After introduction, we first give some basic definitions. Then, uncorrelated optimal discrimination vectors (UODV) are proposed. Next, we introduce an improved UODV approach, and offer some experiments and analysis. Finally, we summarize some useful conclusions.

2020 ◽  
pp. 89-97
Author(s):  
A. U. Yakupov ◽  
D. A. Cherentsov ◽  
K. S. Voronin ◽  
Yu. D. Zemenkov

The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.


2021 ◽  
Vol 91 ◽  
pp. 107041
Author(s):  
Heyou Chang ◽  
Fanlong Zhang ◽  
Shuai Ma ◽  
Guangwei Gao ◽  
Hao Zheng ◽  
...  

2006 ◽  
Vol 30 (2) ◽  
pp. 177-184 ◽  
Author(s):  
Hervé Glotin ◽  
Sabrina Tollari ◽  
Pascale Giraudet
Keyword(s):  

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