Open AccessProviding statistical stability of qualimetric studies on the basis of geochronological tracking
Author(s) -
Ya. A. Ivakin,
Е. Г. Семенова,
А. Г. Ручьев,
М. С. Смирнова
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2094/4/042004
Subject(s) - representativeness heuristic , reliability (semiconductor) , stability (learning theory) , quality (philosophy) , computer science , basis (linear algebra) , population , selection (genetic algorithm) , data science , data mining , econometrics , operations research , risk analysis (engineering) , machine learning , statistics , mathematics , business , sociology , power (physics) , physics , philosophy , geometry , demography , epistemology , quantum mechanics
Geochronological tracking has received wide recognition as an appropriate scientific and methodological tool and an effective information technology of qualimetric research in the interests of ensuring high quality of transport services, transportation efficiency, analysis of the facts of insufficient meeting the needs of the population with spatially remote services, etc. On the basis of geochronotracking, a procedure has been developed for statistical verification of research hypotheses about stable trends in changes in the quality of various spatio-temporal processes. The reliability and validity of accepting a particular hypothesis in the framework of a qualimetric research is determined by the representativeness of the volume of initial data on geographical movements, considered as a selection from the general population. This article is devoted to the analysis of this dependence and the development of an algorithm for assessing the specified stability (significance).