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This study presents a relaxation method for second-order matrix-valued multivariate polynomial inequalities (SMMPI), with a specific application to the stability ...
The t distribution provides a useful extension of the normal for statistical modeling of data sets involving errors with longer-than-normal tails. An analytical strategy based on maximum likelihood ...
Non-linear regression is a form of regression analysis where the relationship between the independent variables and the dependent variable is modeled as a non-linear function.
R. Dennis Cook, Bing Li, Francesca Chiaromonte, ENVELOPE MODELS FOR PARSIMONIOUS AND EFFICIENT MULTIVARIATE LINEAR REGRESSION, Statistica Sinica, Vol. 20, No. 3 (July 2010), pp. 927-960 ...
Due to the large number of monitoring variables in engineering, it is extremely to reflect fault information in machinery and equipment with a single channel signal, which poses a significant ...
Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.