The distribution of extremal foreign exchange rate returns in extremely large data sets

Autor: Dacorogna, MM, Mueller, UA, Pictet, OV

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::b21a15dfda7f9d517a6ebf9043becb78
https://pure.eur.nl/en/publications/23c445e6-b1ca-43dc-a488-ba6f68af8f59

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Statistical Analysis in the German National Cohort (NAKO) - Specific Aspects and General Recommendations.

Autor: Kuss O; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. oliver.kuss@ddz.de.; Centre for Health and Society, Medical Faculty, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany. oliver.kuss@ddz.de., Becher H; Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany., Wienke A; Institute of Medical Epidemiology, Biometrics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany., Ittermann T; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Ostrzinski S; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Schipf S; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Schmidt CO; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Leitzmann M; Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, Regensburg, Germany., Pischon T; Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany., Krist L; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Roll S; Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany., Sand M; GESIS - Leibniz-Institute for Social Sciences, Mannheim, Germany., Pohlabeln H; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany., Rach S; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany., Jöckel KH; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany., Stang A; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany., Mueller UA; Federal Institute for Population Research, Wiesbaden, Germany., Werdecker A; Federal Institute for Population Research, Wiesbaden, Germany., Westerman R; Federal Institute for Population Research, Wiesbaden, Germany., Greiser KH; Division of Cancer Epidemiology, DKFZ Heidelberg, Heidelberg, Germany., Michels KB; Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.

Publikováno v: European journal of epidemiology [Eur J Epidemiol] 2022 Apr; Vol. 37 (4), pp. 429-436. Date of Electronic Publication: 2022 Jun 02.