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On Some Applications of Matrix Partial Orders in Statistics

Author

Listed:
  • Iva Golubi´c

    (University of Ljubljana, Faculty of Electrical Engineering, Slovenia)

  • Janko Marovt

    (University of Maribor, Faculty of Economics and Business, Slovenia)

Abstract

In statistics different partial orders appear as useful in several cases. Three of the best known partial orders defined on (sub)sets of real or complex matrices are the Löwner, the minus and the star partial orders. Another two matrix partial orders that are related to the star partial order are the leftstar and the right-star partial orders. In the paper we review some of the applications of mentioned partial orders in statistics.:

Suggested Citation

  • Iva Golubi´c & Janko Marovt, 2020. "On Some Applications of Matrix Partial Orders in Statistics," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(2), pages 223-235.
    • Handle: RePEc:isv:jouijm:v:9:y:2020:i:2:p:223-235
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    References listed on IDEAS

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    1. Jennifer Lewis Priestley & Robert J. McGrath, 2019. "The Evolution of Data Science: A New Mode of Knowledge Production," International Journal of Knowledge Management (IJKM), IGI Global, vol. 15(2), pages 97-109, April.
    2. Kongkiti Phusavat & Pornthep Anussornnitisarn & Pattanaorn Tangkapaisarn & Pekka Kess, 2009. "Knowledge management and performance improvement: the roles of statistics and mathematics," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 6(3), pages 306-322.
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