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Просмотр "2013. Computer Data Analysis and Modeling. Vol 1" По дате выпуска

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2013R tools for robust statistical analysis of high–dimensional dataTodorov, V.; Filzmoser, P.
2013Too many skew normal distributions? The practitioneer’s PerspectiveCharemza, Wojciech; D´ıaz, Carlos; Makarova, Svetlana
2013Application of residual empirical processes to robust linear hypotheses testing in autoregressionEsaulov, D. M.
2013A projection-pursuit method for sparse robust pcaFilzmoser, P.
2013Approximate formulas for expectation of functionals from solution to stochastic equation with random measureEgorov, A. D.
2013Providing data with high utility and no disclosure risk for the public and researchers: an evaluation by advanced statistical disclosure risk methodsTempl, M.
2013Eneralized method of wavelet moments for the estimation of composite stochastic modelsPia, Maria; Feser, Victoria
2013Power-law graphs robustness and forest firesLeri, M. M.; Pavlov, Yu. L.
2013On outliers and interventions in count time series following glmsFried, R.; Elsaied, H.; Liboschik, T.
2013Equential testing of parametric hypotheses: performance, robustness and applicationKharin, A. Yu.
2013Detection of outliers with boxplotsAndrea, K.; Shevlyakov, G. L.; Smirnov, P. O.
2013On qualitatively robust sign test in random walk modelBoldin, M. V.
2013On d- and a-optimal designs of experimentsKirlitsa, V. P.
2013Minimax extrapolation problem for periodically correlated processesDubovetska, I. I.; Moklyachuk, M. P.
2013On parameters estimation of autoregressive time series under right censoringBadziahin, I. A.
2013Assignment of multivariate samples to the fixed classes by the maximum likelihood method and its riskZhuk, E. E.
2013Modeling of spatial queues systemMukha, V. S.; Prishchepchik, M. V.
2013Goodness of fit tests based on kernel density estimatorsRudzkis, R.; Bakshaev, A.
2013Some remarks on decomposition of partitioned multivariate models into two seemingly unrelated submodelsFiˇserová, E.; Kubáˇcek, L.
2013Long-memory discrete-valued time series: models and methodsKharin, Yu. S.