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검색어 : 통합검색[Regression analysis.]

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, 94/100 페이지

  • 931
    Survival analysis, part 3: Cox regression
    Koletsi, Despina; Pandis, Nikolaos; London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom; private practice, Athens, Greece; Department of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine/Medical Faculty, University of Bern, Bern, Switzerland; private practice, Corfu, Greece; (American journal of orthodontics and dentofacial orthopedics, v.152, 2017, pp.722-723)
  • 932
    Binary Response Analysis Using Logistic Regression in Dentistry
    Srimaneekarn, Natchalee; Hayter, Anthony; Liu, Wei; Tantipoj, Chanita; Department of Anatomy, Faculty of Dentistry, Mahidol University, Bangkok 10400, Thailand; Department of Business Information and Analytics, University of Denver, Denver, CO 80208-8921, USA; S3RI and School of Mathematics, University of Southampton, Highfield, Southampton SO17 1BJ, UK; Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Bangkok 10400, Thailand; (International journal of dentistry, v.2022, 2022, pp.5358602)
  • 933
    Regression Analysis of Tumour Prevalence Data
    Dinse, Gregg E.; Lagakos, S. W.; National Institute of Environmental Health Sciences, USA; Harvard University School of Public Health, USA; (Journal of the Royal Statistical Society. Series C, Applied statistics, v.32, 1983, pp.236-248)
  • 934
    Regression analysis for prediction of residential energy consumption
    Fumo, Nelson; Rafe Biswas, M.A.; Corresponding author.; (Renewable & sustainable energy reviews, v.47, 2015, pp.332-343)
  • 935
    Hybrid fuzzy support vector regression analysis
    Baser, Furkan; Apaydin, Aysen; Department of International Trade, Faculty of Economics and Administrative Sciences, Gazi University, Besevler, Ankara, Turkey; Department of Statistics, Faculty of Science, Ankara University, Tandogan, Ankara, Turkey; (Journal of intelligent & fuzzy systems, v.28, 2015, pp.2037-2045)
  • 936
    Regression Curve Analysis of Cephalosporin Activity
    Washington II, John A.; Yu, Pauline K. W.; Section of Microbiology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota 55901; Section of Microbiology, Mayo Clinic and Mayo Foundation, Rochester, Minnesota 55901; (Applied microbiology, v.19, 1970, pp.589-593)
  • 937
    Taxi vacancy duration: a regression analysis
    Lee, Won Kyung; Sohn, So Young; Department of Information and Industrial Engineering, Yonsei University, Seoul, Republic of Korea; Department of Information and Industrial Engineering, Yonsei University, Seoul, Republic of Korea; (Transportation planning and technology, v.40, 2017, pp.771-795)
  • 938
    Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis
    Chen, Hsuan-Yu; Chen, Chiachung; Africa Industrial Research Center, National Chung Hsing University, Taichung 40227, Taiwan; wakaharu37@gmail.com; Department of Bio-Industrial Mechatronics Engineering, National Chung Hsing University, Taichung 40227, Taiwan; (Sensors, v.22, 2022, pp.447)
  • 939
    Manifold Transfer Learning via Discriminant Regression Analysis
    Lu, Yuwu; Wang, Wenjing; Yuan, Chun; Li, Xuelong; Lai, Zhihui; Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, PR China; Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, PR China; Tsinghua Shenzhen International Graduate School and Peng Cheng Laboratory, Shenzhen, China; Northwestern Polytechnical University, School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China; Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, PR China; (IEEE transactions on multimedia, v.23, 2021, pp.2056-2070)
  • 940
    A Method for Spatial Partitioning Based on Regression Analysis
    TENG, Minggui; MA, Xianzhang; ZENG, Jianqing; ; (計算機工程與科學 = Computer engineering & science, v.27, 2005, pp.81-84)

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