American Statistical Association

The American Statistician strives to publish articles of general interest to the statistical profession on topics that are important for a broad group of statisticians, and ordinarily not highly technical. The journal is organized into sections: Statistical Practice, General, Teacher's Corner, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters.

Published quarterly since 1996, the Journal of Agricultural, Biological, and Environmental Statistics (JABES) is a joint publication of the American Statistical Association and the International Biometric Society. The journal contributes to the development and use of statistical methods in the agricultural sciences, the biological sciences (including biotechnology), and the environmental sciences (including those dealing with natural resources). Published articles are of immediate and practical value to applied researchers and statistical consultants in these fields because only papers addressing applied statistical problems are considered. Interdisciplinary papers as well as papers that illustrate the application of new and important statistical methods using real data are strongly encouraged. Expository, review, and survey articles addressing broad-based statistical issues are viewed as particularly valuable contributions of the journal to practicing and applied statisticians. A distinctive feature of JABES is that it requires the author to include original data, so that others may immediately apply the statistical method(s) of interest.

The Journal of Business & Economic Statistics (JBES) has been published quarterly since 1983 by the American Statistical Association. It serves as a unique meeting place for applied economists, econometricians, and statisticians developing appropriate empirical methodologies for a broad range of topics in business and economics. It has been consistently ranked among the top ten of all economics journals in recent surveys. The coverage includes forecasting, data quality, policy evaluation, all topics in empirical economics, finance, marketing, etc. Publication typically requires a significant methodological contribution and a substantive practical application. However, JBES will also publish within the areas of computation, simulation, networking and graphics as long as the intended applications are closely related to general topics of interest for the journal.

The purpose of the Journal of Computational and Graphical Statistics is to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, this quarterly journal contains cutting-edge research, data, surveys, and more on numerical methods, graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing.

JEBS provides an outlet for papers that develop original statistical methods useful for the applied statistician working in educational or behavioral research. Typical papers will present new methods of analysis. In addition, critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already known methods will be published. Papers discussing statistical techniques without specific educational or behavioral interest will have lower priority, as will papers consisting mainly of Monte Carlo calculations evaluating existing techniques or practices. Papers that present empirical results about teaching are generally not acceptable.

The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal in the mathematical sciences in 1991-2001, with 16,457 citations, more than 50% more than the next most highly cited journals. Articles in JASA focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences and on new methods of statistical education.

The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. Its content features 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 mission. Application of proposed methodology is justified, usually by means of an actual problem in the physical, chemical, or engineering sciences.

Papers in the journal reflect modern practice. This includes an emphasis on new statistical approaches to screening, modeling, pattern characterization, and change detection that take advantage of massive computing capabilities. Papers also reflect shifts in attitudes about data analysis (e.g., less formal hypothesis testing, more fitted models via graphical analysis), and in how important application areas are managed (e.g., quality assurance through robust design rather than detailed inspection).