Doubling the number of statistical Cramer – von Mises criterion by differentiating small samples with normal and uniform distribution of biometric data von Ivanov, A.I., Malygin, A.Yu, Polkovnikova, S.A.

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New statistical high power test, obtained by differentiating random data of a small sample von Ivanov, A.I., Malygin, A.Yu, Polkovnikova, S.A.

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Multi-criteria neural network estimation of correlation coefficients for processing small samples of biometric data von Ivanov, A.I., Serikova, Yu.I., Zolotareva, T.A., Polkovnikova, S.A.

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TESTING THE QUALITY OF NEURAL NETWORK ERROR CORRECTION FOR CALCULATING THE STANDARD DEVIATION OF SMALL SAMPLES OF BIOMETRIC DATA von Volchikhin, V.I., Ivanov, A.I., Malygina, E.A., Kachalin, S.V., Polkovnikova, S.A.

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REVIEW OF NEW STATISTICAL CRITERIA FOR VERIFICATION OF THE HYPOTHESIS OF NORMALITY AND UNIFORMITY OF DISTRIBUTION OF DATA IN SMALL SAMPLES von Ivanov, A.P., Ivanov, A.I., Bezyaev, A.V., Kupriyanov, E.N., Bannykh, A.G., Perfilov, K.A., Lukin, V.S., Savinov, K.N., Polkovnikova, S.A., Serikova, Yu.I., Malygin, A.Yu

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AN ALBUM OF NINE CLASSICAL STATISTICAL CRITERIA FOR TESTING THE HYPOTHESIS OF NORMAL OR UNIFORM DISTRIBUTION OF DATA IN SMALL SAMPLES von Ivanov, A.P., Ivanov, A.I., Malygin, A. Yu, Bezyaev, A.V., Kupriyanov, E.N., Bannykh, A.G., Perfilov, K.A., Lukin, V.S., Savinov, K.N., Polkovnikova, S.A., Serikova, Yu.I.

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MULTI-CRITERIA VERIFICATION OF THE HYPOTHESIS OF NORMALITY AND UNIFORMITY OF SMALL SAMPLES USING TERNARY AND BINARY ARTIFICIAL NEURONS von A.I. Ivanov, A.P. Yunin, A.P. Ivanov, E.N. Kupriyanov, S.A. Polkovnikova

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ULTRASONIC FEATURES OF ACUTE OSTEOMYELITIS IN INFANTS von Zavadovskaya, V.D., Polkovnikova, S.A., Maslikov, V.M.

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MULTI-CRITERIA VERIFICATION OF THE HYPOTHESIS OF NORMALITY AND UNIFORMITY OF SMALL SAMPLES USING TERNARY AND BINARY ARTIFICIAL NEURONS von Ivanov, A.I., Yunin, A.P., Ivanov, A.P., Kupriyanov, E.N., Polkovnikova, S.A.

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