Journal Guide

Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly.

TEST is an international journal of statistics and probability, sponsored by the Spanish Society of Statistics and Operations Research. Its scope includes both established and emerging areas, and English is the journal’s official language.TEST focuses on papers that offer original theoretical contributions and that have demonstrated or potential value for applications. Methodological content is crucial for publication in the journal as is detailed coverage of practical implications.In addition to the regular contributions, each issue of TEST features an invited paper covering a current and challenging topic authored by an internationally recognized statistician. One volume is published annually in four issues.Officially cited as: TestImpact factors
2009: 1.241 ( 34 of 100 )
2010: 1.036 ( 45 of 110 )
2011: 1.125 ( 42 of 116 )
2012: 1.271 ( 36 of 117 )

TOP is the official journal of the Spanish Society of Statistics and Operations Research. International in focus, the journal publishes original findings in operations research and management sciences. Contributions investigate either mathematical issues or applications to real-world decision-making problems. The topics covered are continuous and discrete optimization, games, decision theory, logistics, production planning, stochastic models, simulation, and OR applications.Officially cited as: Top

Journal of Statistics for the Physical, Chemical, and Engineering SciencesPublished Quarterly by the American Society for Quality and the American Statistical AssociationSince 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.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.

The American Statistician is published quarterly and contains timely articles organized into the following sections: Statistical Practice, General, Teacher's Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.

The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.

The Annals of Probability publishes research papers in modern probability theory, its relations to other areas of mathematics, and its applications in the physical and biological sciences. Emphasis is on importance, interest, and originality - formal novelty and correctness are not sufficient for publication. The Annals will also publish authoritative review papers and surveys of areas in vigorous development.

The Annals of Statistics aim to publish research papers of highest quality reflecting the many facets of contemporary statistics. Primary emphasis is placed on importance and originality, not on formalism. The journal aims to cover all areas of statistics, especially mathematical statistics and applied & interdisciplinary statistics. Of course many of the best papers will touch on more than one of these general areas, because the discipline of statistics has deep roots in mathematics, and in substantive scientific fields.Mathematical StatisticsMathematics provides the language in which models, the properties of statistical methods and computation algorithms are formulated. It is essential for rigor, coherence, clarity and understanding. Consequently, our policy is to continue to play a special role in presenting research at the forefront of mathematical statistics, especially theoretical advances that are likely to have a significant impact on statistical methodology, computation or understanding.Applied and Interdisciplinary StatisticsSubstantive fields are essential for continued vitality of statistics since they provide the motivation and direction for most of the future developments in statistics. We thus intend to publish papers relating to the role of statistics in interdisciplinary investigations in all fields of natural, medical, technical and social science.

Theory of Probability and Its Applications is a translation of the Russian journal Teoriya Veroyatnostei i ee Primeneniya, which contains papers on the theory and application of probability, statistics, and stochastic processes.