scholarly journals Statistical Analysis of Physical Chemistry Data: Errors Are Not Mistakes

2020 ◽  
Vol 124 (11) ◽  
pp. 5889-5892
Author(s):  
Gregory V. Hartland
2001 ◽  
Vol 136 (3) ◽  
pp. 331-341 ◽  
Author(s):  
Gabor Nagy ◽  
Péter Tilky ◽  
Ákos Horváth ◽  
Tamás Pintér ◽  
Robert Schiller

Science ◽  
1963 ◽  
Vol 140 (3567) ◽  
pp. 659-660
Author(s):  
G. J. Janz

2019 ◽  
Vol 54 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Rūta Simanavičienė ◽  
Jovita Cibulskaitė

The tasks of making the most appropriate decisions taking into account a number of criteria are dealt with in variousfields such as engineering, industry, finance, economics and others. If the aim is to arrange the alternatives in a priority lineaccording to quantitative attributes, then multiattribute decision-making methods are suitable. Analysts using these methods usuallydo not take into account initial data errors – deviations in attribute values, in which case the decision may be unreliable. In thisarticle, several statistical analysis methods are proposed for the multicriteria decision to measure reliability: formulation of statisticalhypotheses and calculation of confidence intervals for parameters. Based on statistical analysis results, conclusions about thereliability of a multicriteria decision obtained using the TOPSIS method are formulated.


Author(s):  
Ana I. Kostov ◽  
Zdenka S. Stanojevic Simsic ◽  
Aleksandra R. Milosavljevic

Sign in / Sign up

Export Citation Format

Share Document