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Statistical and Intelligent Methods of Medical Data Processing
Shakhmametova, G.R., Yusupova, N.I., Mironov, V.V., Zulkarneev, R.K.
Statistical and Intelligent Methods of Medical Data Processing
Using Data on Species Diversity in Predicting Meadow Ecosystem Biomass
Rogova T.V., Sautkin I.S., Shaykhutdinova G.A., Chizhikova N.A.
of plants, which act as universal evaluation criteria, has been tested. The predictive statistical model
Оценка и повышение энергоэффективности работы трансформаторов при проведении энергетического обследования
Грунтович, Н. В., Капанский, А. А.
-measuring system during the characteristic year. To test the hypothesis of the normal distribution
Poster: project-based learning in the mathematics course for first year students at a technical university
Rozhkova, Svetlana V., Ustinova, Irina G., Yanuschik, Olga
. To study the effectiveness of this method, we conducted a statistical test of the hypothesis of equality
Operational statistical analysis of the results of computer-based testing of students
Nardyuzhev V.I., Nardyuzhev I.V., Marfina V.E., Kurinin I.N.
The article is devoted to the issues of statistical analysis of results of computer-based testing
The method c-index for identifying cheating in testing
Sokolov A.V.
Discusses the problem of the definition of cheating in testing. Gives a brief summary of the appli
THE NEXUS BETWEEN TOURISM AND REGIONAL REAL GROWTH: DYNAMIC PANEL THRESHOLD TESTING
Vuković D.B., Zobov A.M., Degtereva E.A.
at the Nomenclature of territorial units for statistics (NUTS), level 2, for the period 1995–2019. The study uses
Methods of applied statistics in analysis of marketing information
Pyatkina D.A., Soldatkina A.S.
Methods of applied statistics in analysis of marketing information
Mobile network traffic analysis based on probability-informed machine learning approach
Gorshenin A., Kozlovskaya A., Gorbunov S., Kochetkova I.
for the computational speed and accuracy trade-off. Also, we introduce a novel statistical hypothesis testing method
Developing a Multiple Testing Procedure in the D-Posterior Approach using the R Software Environment
Simushkin S., Fedotova E.
FDR in multiple testing. The statistical criterion uses programming capabilities in the R environment

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