The Technometrics editor reviews new submissions and makes final decisions about which papers to accept for publication. The editor also appoints the editorial board and works with them to handle the journal’s peer-review process.
Technometrics Highlights
Technometrics Calls for Editor Applications, Nominations
The American Statistical Association and American Society for Quality invite nominations and applications for the position of editor of Technometrics.
Technometrics Highlights: Latest Issue Covers Design, Analysis, Anomaly Detection
Volume 59, Issue 1 of Technometrics includes 11 articles covering topics ranging from design and analysis of complex, black-box computer simulations to algorithmic design approaches for customizing and enhancing key properties of physical experiments to anomaly detection in image and other high-dimensional data streams.
Big Data Featured in August Special Issue
Highlights from the August 2016 issue of Technometrics—a special issue on Big Data analysis featuring 11 papers on a wide range of topics.
Dimension Reduction, Functional Data Analysis, Experimental Designs, Gaussian Processes Featured in February Issue
Here is a summary of the articles that appear in the February issue of Technometrics.
Technometrics Highlights: Regression Diagnostics, Control Charts, and Bayesian Methods Featured in August Issue
Peihua Qiu, Technometrics editor, summarizes the articles appearing in the August issue.
Bayesian Approaches for Modeling Computer Experiments Featured in May Issue
Here are highlights from the May issue of Technometrics.
A Collection of Articles by George Box
Technometrics announces a special virtual issue commemorating the scientific career of George E. P. Box, who died in March 2013.
Experimental Design Featured in February Issue
Here are the highlights of the February 2014 issue of Technometrics.
Call for Papers—Statistical Analysis of Big Data: A Special Issue of Technometrics
This special issue of Technometrics will publish original high-quality papers that deal with all aspects of the statistical analysis of Big Data.