The source-item coverage of the exponential function |
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| Institution: | 1. Martin Luther University Halle-Wittenberg, Department for Remote Sensing and Cartography, Von-Seckendorff-Platz 4, 06120 Halle (Saale), Germany;2. Helmholtz Centre for Environmental Research, Department for Computational Landscape Ecology, Permoserstraße 15, 04318 Leipzig, Germany;3. Martin Luther University Halle-Wittenberg, Institute of Agriculture and Nutrition Science, Department of Farm Management, Karl-Freiherr-von-Fritsch-Straße 4, 06120 Halle (Saale), Germany;1. SAP Deutschland SE & Co. KG, Hasso-Plattner-Ring 7, 69190 Walldorf, Germany;2. Fraunhofer Institute for Systems and Innovation Research ISI, Breslauer Strasse 48, 76139 Karlsruhe, Germany;3. Berlin University of Technology, Chair of Innovation Economics, VWS 2, Müller Breslau-Strasse, 10623 Berlin, Germany;1. Institute for Science, Technology and Society, Henan Normal University, Xinxiang 453007, China;2. School of Management, Henan University of Technology, Zhengzhou 450001, China;3. University of Antwerp (UA), IOIW-IBW, Venusstraat 35, 2000 Antwerp, Belgium;4. KU Leuven, Dept. Mathematics, Celestijnenlaan 200B, 3000 Leuven (Heverlee), Belgium;1. Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St., Champaign, IL 61820, USA;2. Department of Bank Examination, Korea Financial Supervisory Service, 38 Yeoui-daero, Youngdeungpo-gu, Seoul 150-743, South Korea;1. Odense University Hospital, Sdr. Boulevard 29, DK-5000 Odense, Denmark;2. KORA, Danish Institute for Local and Regional Government Research, Copenhagen, Denmark;3. University of Southern Denmark, Odense, Denmark |
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| Abstract: | Statistical distributions in the production of information are most often studied in the framework of Lotkaian informetrics. In this paper, we recall some results of basic theory of Lotkaian informetrics, then we transpose methods (Theorem 1) applied to Lotkaian distributions by Leo Egghe (Theorem 2) to the exponential distributions (Theorem 3, Theorem 4). We give examples and compare the results (Theorem 5). Finally, we propose to widen the problem using the concept of exponential informetric process (Theorem 6). |
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