Recent years have witnessed a vigorous growth in the use of Extreme Value Theory and Statistics of Extremes, with relevance to applications in a broad spectrum of areas, ranging for example from natural hazards in geophysics and the environment to rare events in financial risk.
This special issue of REVSTAT – Statistical Review aims at giving the readers a flavor of this exciting area of research, through recent advances in the field. Statistics of Extremes and Related Fields consists of six articles authored by prominent researchers who participated in the 56th Session of the International Statistical Institute, which was held in Portugal, Lisbon, from August 22–29, 2007.
Special issue on Robust statistics
«The present issue of REVSTAT -Statistical Review contains a selection of papers, both invited and contributed, presented at the International Conference on Robust Statistics - ICORS 2006 that took place in Lisbon, Portugal, from 16 to 21 July 2006.»
Special issue on Statistical Applications in Bioinformatics
«This special issue of REVSTAT-Statistical Review contains a selection of papers (invited and contributed) presented at the Workshop on Statistics in Genomics and Proteomics that took place in Monte Estoril, Portugal, from 5-8 October 2005.»
Some years ago INE-Instituto Nacional de Estatística – launched a Statistical journal. Revista de Estatística / Statistical Review, intended to fill the gap of scientific publication in the area of statistics in Portuguese. This was thought at the time to be an important step towards the normalization of Portuguese scientific terms in the area. [Editorial]
REVSTAT - Statistical Journal is an open access blind peer-reviewed journal published quarterly, by Statistics Portugal. The aim of REVSTAT - Statistical Journal is to publish articles of high scientific content, developing Statistical Science focused on innovative theory, methods, and applications in different fields of science.
Impact factor (2023) : 0.7
5 Year Impact factor (2023) : 0.9
JCR Journal Citation Reports © JIF Rank (2023): 126/168 (Statistics & Probability)
