SUBMITTING ARTICLES TO Technometrics

The editor of Technometrics strongly prefers to receive your article submissions as PDF files (printable on 8.5 x 11 paper). Please submit a blinded as well as an unblinded version. Submit files using the Technometrics AllenTrack website http://technometrics.allentrack.net/.

Book review submissions should be sent as attachments to the Technometrics Book Review Editor S. Ejaz Ahmed at techeditor@uwindsor.ca. PDFs are preferred but Word files are acceptable. Book reviews should be sent as attachments only. Please do not send hard copy.

About the Journal

Since its inception in 1959, the mission of Technometrics has been to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. 

Technometrics publishes papers that describe new statistical techniques, illustrate innovative application of known statistical methods, or review methods, issues, or philosophy in a particular area of statistics or science, when such papers are consistent with the journal's objective. Since 1959, the methods presented in the journal have reflected changes in the discipline.

In recent years, some of these changes have been associated with improved computer technology and availability, resulting in highly flexible and computer-intensive approaches to scientific data analysis. (See for example the lead article in the August 1998 issue by Richard A. Becker, Linda A. Clark, and Diane Lambert entitled "Events Defined By Duration and Severity, with an Application to Network Reliability," with discussion by Jeff Robinson and Josef Schmee.) With the emergence of massive computing and data storage capabilities, statistical approaches to screening, flexible modeling, pattern characterization, and change detection that were infeasible 20 years ago are now viable. There have also been shifts in basic attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how some of our important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).

Many of the problems in industry today concern the analysis of huge data sets that lead to improved quality or better understanding of the manufacturing or development process. The journal would like to encourage submissions that address problems of this nature and that take advantage of modern resources.

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Technometrics is reviewed in Mathematical Reviews, abstracted in Applied Science & Technology Abstracts and abstracted and indexed in The Engineering Index, COMPENDEX, and Applied Science & Technology Index.

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