Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
To the evaluation of the parameters of the regression equation between the radiometric and geological testing. / Ivanyukovich, G. A.; Malafeyev, O. A.; Zaitseva, I. V.; Kovshov, A. M.; Zakharov, V. V.; Zakharova, N. I.
в: Journal of Physics: Conference Series, Том 1515, № 3, 032079, 13.05.2020.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - To the evaluation of the parameters of the regression equation between the radiometric and geological testing
AU - Ivanyukovich, G. A.
AU - Malafeyev, O. A.
AU - Zaitseva, I. V.
AU - Kovshov, A. M.
AU - Zakharov, V. V.
AU - Zakharova, N. I.
PY - 2020/5/13
Y1 - 2020/5/13
N2 - Comparisons of the regression equation between two methods for testing rocks and ores at the Dukat gold-silver deposit are made using two algorithms. In the first loss function defined by the sum of squares of residuals (deviations from the values of the dependent variable of the regression line), in the second-the sum of the absolute values of the residual normalized to sum values of the dependent and independent variables. As a result, it was shown that in the first case, in order to increase the accuracy of estimates of the coefficients, it is necessary to exclude observations in which the absolute value of the residuals normalized to their standard deviation exceeds the critical level of 5-7. In the second case, it is stable to sample formation and the number of observations can be reduced by 2-3 times. Under these conditions, the error in the estimates of the coefficients turns out to be close.
AB - Comparisons of the regression equation between two methods for testing rocks and ores at the Dukat gold-silver deposit are made using two algorithms. In the first loss function defined by the sum of squares of residuals (deviations from the values of the dependent variable of the regression line), in the second-the sum of the absolute values of the residual normalized to sum values of the dependent and independent variables. As a result, it was shown that in the first case, in order to increase the accuracy of estimates of the coefficients, it is necessary to exclude observations in which the absolute value of the residuals normalized to their standard deviation exceeds the critical level of 5-7. In the second case, it is stable to sample formation and the number of observations can be reduced by 2-3 times. Under these conditions, the error in the estimates of the coefficients turns out to be close.
UR - http://www.scopus.com/inward/record.url?scp=85084740140&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1515/3/032079
DO - 10.1088/1742-6596/1515/3/032079
M3 - Conference article
AN - SCOPUS:85084740140
VL - 1515
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 3
M1 - 032079
T2 - 2nd International Scientific Conference on Metrological Support of Innovative Technologies, ICMSIT 2020
Y2 - 4 March 2020
ER -
ID: 53560843