Abstract
In the paper, solutions to the scientific and practical task of applying covariance analysis to determine the factor influence on the functional transformation of the control parameter in colorimetric research are considered. The research involves determining the factor influence on the additive and multiplicative components of the measurement error of the colorimetric control parameter to assess the reliability of conclusions about the factor influence on the transformation of the control parameter. Limits on the amount of the main level (control parameter) and factors affecting the result of colorimetric control are determined. During the study, the equations to assess the reliability of statistical conclusions about the informational significance of indicators of colorimetric control for a simplified model of cross-classification were obtained.
 The need to carry out the research is related to the fact that during colorimetric control of grain crops, the uncertainty of the measurement results of the values of the controlled indicators is large enough, and so it must be evaluated. However, the proposed approach is not limited to a few colorimetric controls, but can be extended to a wider range of problems, where it is necessary to consider the factor influence with further ranking of factors by levels of significance.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.