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IEEE1mon
Fault Detection Based on Statistical Multivariate Analysis and Microarray Visualization - IEEE Xplore
In this work, a statistical method is proposed to mine out key variables from a large set of variables recorded in a limited number of runs through a multistage multistep manufacturing process. The ...
technologynetworks4mon
MANOVA: Multivariate Analysis of Variance Explained | Technology Networks
Multivariate analysis of variance (MANOVA) is an extension of the commonly used analysis of variance (ANOVA) method, allowing statistical comparisons across three or more groups of data and involving ...
Scientific Research Publishing1y
Rencher, A.C. and Schimek, M.G. (1997) Methods of Multivariate Analysis. Computational Statistics, 12, 422. - Scientific Research Publishing
Article citations More>> Rencher, A.C. and Schimek, M.G. (1997) Methods of Multivariate Analysis. Computational Statistics, 12, 422. has been cited by the following article: TITLE: Unveiling the ...
Scientific Research Publishing2y
Tabachnick, B.G. and Fidell, L.S. (2013) Using Multivariate Statistics. 6th Edition, Pearson, Upper Saddle River. - Scientific Research Publishing
Article citations More>> Tabachnick, B.G. and Fidell, L.S. (2013) Using Multivariate Statistics. 6th Edition, Pearson, Upper Saddle River. has been cited by the following article: TITLE: Dealing with ...
IEEE3y
A Precise Block-Based Statistical Timing Analysis with MAX Approximation Using Multivariate Adaptive Regression Splines - IEEE Xplore
The impact of process variations on timing has become significant in advanced technology nodes. In this paper, a multivariate adaptive regression splines (MARS) delay model is proposed that considers ...