The algorithm of the method for calculating quality classes’ boundaries for quantitative systems’ characteristics and for determination of interactions between characteristics. Part 1. Calculation for two quality classes

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A calculation method for boundaries of quality classes for quantitative systems characteristics of any nature is suggested. The method allows to determine interactions which are not detectable using correlation and regression analysis; quality classes’ boundaries of systems’ condition indicator and boundaries of the factors influencing this condition; contribution of the factors to a degree of «inadmissibility» of indicator values; sufficiency of the program observing the factors to describe the causes of «inadmissibility» of indicator values.

Keywords: analysis of interaction, maximization of interaction power, indicators, factors, boundaries of quality classes, factor contribution
Citation in English: Risnik D.V., Levich A.P., Fursova P.V., Goncharov I.A. The algorithm of the method for calculating quality classes’ boundaries for quantitative systems’ characteristics and for determination of interactions between characteristics. Part 1. Calculation for two quality classes // Computer Research and Modeling, 2016, vol. 8, no. 1, pp. 19-36
Citation in English: Risnik D.V., Levich A.P., Fursova P.V., Goncharov I.A. The algorithm of the method for calculating quality classes’ boundaries for quantitative systems’ characteristics and for determination of interactions between characteristics. Part 1. Calculation for two quality classes // Computer Research and Modeling, 2016, vol. 8, no. 1, pp. 19-36
DOI: 10.20537/2076-7633-2016-8-1-19-36
According to Crossref, this article is cited by:
  • Dmitrii Vladimirovich Risnik, Aleksandr Petrovich Levich, Polina Viktorovna Fursova, Innokentii Aleksandrovich Goncharov. The algorithm of the method for calculating quality classes boundaries for quantitative systems characteristics and for determination of interactions between characteristics. Part 2. Calculation for three or more quality classes. // Computer Research and Modeling. 2016. — V. 8, no. 1. — P. 37. DOI: 10.20537/2076-7633-2016-8-1-37-54
Please note that citation information may be incomplete as it includes data from Crossref cited-by program partners only.
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