Technometrics

This vision includes developments on the interface of statistics and computer science such as data mining, machine learning, large databases, and so on.

The journal places a premium on clear communication among statisticians and practitioners of these sciences and an emphasis on the application of statistical concepts and methods to problems that occur in these fields.

Mathematical derivations not essential to the flow of the text should be placed in an appendix or a supplementary file.

Brief descriptions of problems requiring solution and short technical notes that clearly pertain to the journal's purpose will also be considered for publication.

"[3] Robert B. Gramacy, Virginia Tech S. Ejaz Ahmed, Brock University, Canada