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Analysis and assessment of heavy metal contamination in the vicinity of Lake Atamanskoe (Rostov region, Russia) using multivariate statistical methods
Linnik V.G., Saveliev A.A., Bauer T.V., Minkina T.M., Mandzhieva S.S.
chemistry. In this study, descriptive statistics and three methods of multivariate statistical analysis
Environmental-economic indicators of the sustainability of the enterprises of oil and gas complex
Redina M., Khaustov A.
of multivariate statistical methods realized the estimation of the informativity of different indicators
Parsimonious models of multivariate binary time series: statistical estimation and forecasting
Shibalko, S., Kharin, Y.
This paper is devoted to parsimonious models of multivariate binary time series. Consistent
Multivariate statistic analysis of the world population ageing
Bagautdinova N., Panasyuk M., Pudovik E., Gilmanova A.
Multivariate statistic analysis of the world population ageing
METHODS OF SEX ESTIMATION FROM THE CLAVICLES IN FORENSIC EXAMINATION OF BONE REMAINS
Smirnov Askold, Sundukov Dmitry
and statistical analysis of their osteometric properties. For this purpose bone samples from three skeletal
Combined multivariate data analysis of high-performance thin-layer chromatography fingerprints and direct analysis in real time mass spectra for profiling of natural products like propolis
Morlock G.E., Ristivojevic P., Chernetsova E.S.
combination of fast fingerprint techniques, like HPTLC and DART-MS, for multivariate data analysis
Application of multivariate statistical analysis for delineation of prospective geochemical anomalies in Providenskaya Area (Chukotka, Russia)
Kirillova, M., Yankovich, A., Yankovich, E., Maskov, A., Chernyshov, Aleksey I., Voroshilov, V.
dispersion trains of the Providenskaya Area of the Chukotka Peninsula. The factor and cluster analysis were
Labor productivity as a factor for increasing public production efficiency
Polovkina E., Badrieva L.
for calculating the multivariate average value of production resources is used in order to identify the role
Asymptotic expansion of the coverage probability of James-stein estimators
Ahmed S., Saleh A., Volodin A., Volodin I.
, in Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, Univ
Application of cluster and discriminant analyses to diagnose lithological heterogeneity of the parent material according to its particle-size distribution
Giniyatullin K., Valeeva A., Smirnova E.
forest soils of the Botanical Garden of Kazan Federal University has been studied. The cluster analysis

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