s
  • When the Department was founded, the teaching staff consisted only of a professor and an assistant. 
  • At present there are 9 teaching positions: two professors, three lecturers, senior assistant, assistant and two full-time teachers. There are also a number of research staff on fixed-term contracts.
  • Also a large number of Statistics part-time teachers have worked in the Department. These include Tomi Seppälä, Anna-Maija Koivisto,Ismo Lapinleimu, Henri Toukomaa, Merja Jauhiainen, Markopekka Niinimäki, Joni Lehtinen, Matti Ylén, Jari Parviainen, Pirjo Palmroos, Inka Martti, Lasse Koskinen, Hannu Oja, Jani-Pekka Virtanen, Minna Åhman and Erkki Mäkelä.
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    Arto Luoma

    M.Sc., Assistant, Researcher

    E-mail: al18853@uta.fi

    Arto Luoma obtained his M.Sc. in Mathematics in 1993. After graduating he has worked as a researcher in the project ‘Statistical methods in developing control over timber harvesting’. Since 1995 he has also been a student of Tampere Graduate School in Information Science and Engineering (TISE). In 1998 he was appointed assistant of Statistics.
     

    Research interests:

    • optimal designs in random coefficient linear regression models

    Main publications

    • Liski, Erkki P., Luoma, A. and Sinha, Bikas K., (1996), Optimal Designs in Random Coefficient Linear Regression Models. Calcutta Statistical Association Bulletin, 46, 211-230.
    • Liski, Erkki P., Luoma, A., Mandal, Nripes K. and Sinha, Bikas K., Optimal Designs for Prediction in Random Coefficient Linear Regression Models. To appear in J.N. Srivastava Felicitation Volume of the Special Issue of the Journal of Combinatorics, Informatorics and Systems Sciences.
    • Liski, Erkki P., Luoma, Arto, Mandal, N.K. and Sinha, Bikas K. (1996), Optimal Design for an Inverse Prediction Problem under Random Coefficient Regression Models. Journal of Indian Society for Agricultural Statistics (Golden Jubilee Volume), XLIX, 277-288.
    • Liski, Erkki P., Luoma, Arto, Mandal, N.K. and Sinha, Bikas K., Pitman Nearness, Distance Criterion and Optimal Regression Designs. To appear in Calcutta Association Bulletin.

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