Search Results - LINEAR REGRESSION

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  1. 1

    Hybrid principal component regression estimation in linear regression by Jian-Ying Rong, Xu-Qing Liu

    Published in Electronic Research Archive (2024-06-01)
    Subjects: “…linear regression…”
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    Article


  2. 2

    Linear Regression for Heavy Tails by Guus Balkema, Paul Embrechts

    Published in Risks (2018-09-01)
    “…There exist several estimators of the regression line in the simple linear regression: Least Squares, Least Absolute Deviation, Right Median, Theil–Sen, Weighted Balance, and Least Trimmed Squares. …”
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    Article


  3. 3

    Linear regression analysis study by Khushbu Kumari, Suniti Yadav

    Subjects: “…linear regression…”
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    Article


  4. 4

    Research on linear regression algorithm by Qu Kecheng

    Published in MATEC Web of Conferences (2024-01-01)
    Subjects: “…linear regression…”
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    Article


  5. 5

    LINEAR REGRESSION WITH R AND HADOOP by Bogdan OANCEA

    Published in Challenges of the Knowledge Society (2015-07-01)
    Subjects: “…linear regression.…”
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    Article


  6. 6

    Knowledge and Awareness: Linear Regression by Monika Raghuvanshi

    Published in Educational Process: International Journal (2016-12-01)
    “…Data was collected from various secondary and senior secondary school students in the age group 14 to 20 years using cluster sampling technique from the city of Bikaner, India. Linear regression analysis was performed using IBM SPSS 23 statistical tool. …”
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    Article


  7. 7

    Multiple Linear Regression versus Automatic Linear Modelling by S. Genç, M. Mendeş

    Subjects: “…multiple regression…”
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    Article


  8. 8

    Linear and Non-Linear Regression Models Assuminga Stable Distribution by JORGE A. ACHCAR, SÍLVIA R. C. LOPES

    “…To show the usefulness of the computational aspects, the methodology is applied to linear and non-linear regression models. Posterior summaries of interest are obtained using the OpenBUGS software.…”
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    Article


  9. 9

    Consequences of ignoring clustering in linear regression by Georgia Ntani, Hazel Inskip, Clive Osmond, David Coggon

    Published in BMC Medical Research Methodology (2021-07-01)
    Subjects: “…Linear regression…”
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    Article


  10. 10

    Secure Collaborative Computing for Linear Regression by Albert Guan, Chun-Hung Lin, Po-Wen Chi

    Published in Applied Sciences (2023-12-01)
    Subjects: “…linear regression…”
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    Article


  11. 11

    Neutrosophic Correlation and Simple Linear Regression by A. A. Salama, O. M. Khaled, K. M. Mahfouz

    Published in Neutrosophic Sets and Systems (2014-09-01)
    “…Also, we introduce and study the neutrosophic simple linear regression model. Possible applications to data processing are touched upon.…”
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    Article


  12. 12

    Robust Model Selection in Linear regression by Dr. Sabah Haseeb Hassan

    Published in Kirkuk Journal of Science (2007-06-01)
    Subjects: “…linear regression…”
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    Article


  13. 13

    Kernel Density Estimated Linear Regression by Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

    Subjects: “…Linear regression…”
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    Article


  14. 14

    On identification methods of linear regression models by Romualdas Salėtis

    Published in Lietuvos Matematikos Rinkinys (1999-12-01)
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    Article


  15. 15

    On identification methods of linear regression models by Romualdas Salėtis

    Published in Lietuvos Matematikos Rinkinys (1999-12-01)
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    Article


  16. 16

    Tensor Linear Regression: Degeneracy and Solution by Ya Zhou, Raymond K. W. Wong, Kejun He

    Published in IEEE Access (2021-01-01)
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    Article


  17. 17

    An Entropic Approach to Constrained Linear Regression by Argimiro Arratia, Henryk Gzyl

    Published in Mathematics (2025-01-01)
    Subjects: “…constrained linear regression…”
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    Article


  18. 18

    Study of Some Kinds of Ridge Regression Estimators in Linear Regression Model by Mustafa Nadhim Lattef, Mustafa I ALheety

    Published in Tikrit Journal of Pure Science (2020-12-01)
    “… In linear regression model, the biased estimation is one of the most commonly used methods to reduce the effect of the multicollinearity. …”
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    Article


  19. 19

    The allometry of coarse root biomass: log-transformed linear regression or nonlinear regression? by Jiangshan Lai, Bo Yang, Dunmei Lin, Andrew J Kerkhoff, Keping Ma

    Published in PLoS ONE (2013-01-01)
    “…Traditionally, biomass estimates are based on allometric scaling relationships between stem diameter and coarse root biomass calculated using linear regression (LR) on log-transformed data. Recently, it has been suggested that nonlinear regression (NLR) is a preferable fitting method for scaling relationships. …”
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    Article


  20. 20

    Comparison of Linear Regression and Polynomial Regression for Predicting Rice Prices in Lhokseumawe City by Muhammad Iqbal, Rozzi Kesuma Dinata, Rizki Suwanda

    Published in Jurnal Sisfokom (2025-07-01)
    Subjects: “…linear regression…”
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    Article


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