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    regression analysis


    http://www.yso.fi/onto/yso/p2130


    Related publications

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    • Cautionary note on the two-step transformation to normality (2020) Rönkkö, Mikko; et al.; A1; OA
    • Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine? (2020) Linja, Joakim; et al.; A1; OA
    • Measuring the gender wage gap : a methodological note (2020) Maczulskij, Terhi; et al.; A1; OA
    • Random projections for matrix decomposition and manifold learning (2019) Aizenbud, Yariv; G5; OA; 978-951-39-7965-2
    • Determining risk factors for acute lower extermity injuries in team sports with lasso regression (2017) Niinimäki, Esko; et al.; D2
    • Etäteknologian vaikuttavuus liikunnallisessa kuntoutuksessa : järjestelmällinen kirjallisuuskatsaus ja meta-analyysi (2017) Rintala, Aki; et al.; C1; OA
    • Intelligent solutions for real-life data-driven applications (2017) Ivannikova, Elena; G5; OA
    • Predicting school success from student's wellbeing data (2017) Moilanen, Hannu; et al.; D2
    • Poverty, inequality and the Finnish 1860s famine (2016) Voutilainen, Miikka; G5; OA
    • Estimation of aerobic fitness among young men without exercise test (2015) Tanskanen, Minna; et al.; A1; OA

    Last updated on 2019-09-04 at 12:24

       
     


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