Extremes (Extremes)
Journal Descriptions
Extremes publishes original research on all aspects of statistical extreme value theory and its applications in science, engineering, economics and other fields. Authoritative and timely reviews of theoretical advances and of extreme value methods and problems in important applied areas, including detailed case studies, are welcome and will be a regular feature. All papers are refereed. Publication will be swift: in particular electronic submission and correspondence is encouraged. Statistical extreme value methods encompass a very wide range of problems: Extreme waves, rainfall, and floods are of basic importance in oceanography and hydrology, as are high windspeeds and extreme temperatures in meteorology and catastrophic claims in insurance. The waveforms and extremes of random loads determine lifelengths in structural safety, corrosion and metal fatigue. High concentrations of pollutants constitute health hazards. Large fluctuations in asset, share and bond prices and in exchange and interest rates have serious consequences for the economy. Much of risk and reliability theory is concerned with extreme occurrences. Methods and problems in tail estimation, statistical process control, sequential analysis, and heavy-tailed models for time series are closely related to extreme value theory. Numerical methods, optimization, simulation, and resampling are of interest for statistical extremes.
Extremes (Extremes) is :-
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International, Peer-Reviewed, Open Access, Refereed, Engineering (miscellaneous), Economics, Econometrics and Finance (miscellaneous), Statistics and Probability, development of fundamental mathematical and statistical foundations of extremes, asymptotic theory, inference procedures, and computational methods, as well as applied research that uses extreme value approaches to tackle complex problems in environmental and climate science, engineering risk assessment, finance and insurance, econometrics, machine learning, spatial statistics , Online or Print , Quarterly Journal
- UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1386-1999, E-ISSN: 1572-915X, Established: 1998, Impact Factor: 2.2
- Does Not Provide Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE