Opinions expressed by Digital Journal contributors are their own. “As an inventor, I’ve always believed that data holds the key to solving the most complex problems. My goal has been to create ...

Four new methods for classification of multivariate binary data are presented, based on an orthogonal expansion of the density in terms of discrete Fourier series. The performance of these methods in ...

Analysis of complex time-series data from ecological system study requires quantitative tools for objective description and classification. These tools must take into account largely ignored problems ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...

This multivariate analysis also suggested the presence of previously unrecognized subclusters within the favorable prognosis category, indicating the potential for finer risk stratification.

Two metabolic biomarkers accurately predict autistic spectrum disorders (ASDs) in children, new research shows. A multivariate statistical analysis conducted by investigators at Rensselaer Polytechnic ...