Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Professor Klaus Nordhausen develops modern multivariate statistical methods to analyze high-dimensional and large datasets in different fields.

Sisvar is a statistical analysis system, first released in 1996 although its development began in 1994. The first version was done in the programming language Pascal and compiled with Borland Turbo ...

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...

ABSTRACT: Broadly, mathematics is regarded as a pivot upon which industrial and technological developments rest. It is time to ensure that the pedagogical approach to the teaching and learning of ...

The data genie is well and truly out of the bottle. The presence of data-driven consultancies, the rise of public data websites and the growth of its use in the media (cough, cough) highlight how ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...

Abstract: Marketing management is an essential function of any business, and it is critical to understand the various factors that influence consumer behavior. Multivariate statistical analysis is a ...

Abstract: Multivariate statistical analysis has come of age over the last decade. Dofasco, a leading North American provider of Solutions in Steel/spl trade/ and Tembec, a multinational, integrated ...