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Journal articles on the topic 'Linear regression'

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1

Raghuvanshi, Monika. "Knowledge and Awareness: Linear Regression." Educational Process: International Journal 5, no. 4 (2016): 279–92. http://dx.doi.org/10.22521/edupij.2016.54.2.

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2

Lam, Kim Fung. "A Unified Linear Regression Approach." International Journal of Applied Physics and Mathematics 4, no. 4 (2014): 223–26. http://dx.doi.org/10.7763/ijapm.2014.v4.287.

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3

Samaniego, Angel. "CAPM-alpha estimation with robust regression vs. linear regression." Análisis Económico 38, no. 97 (2023): 27–37. http://dx.doi.org/10.24275/uam/azc/dcsh/ae/2022v38n97/samaniego.

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4

Genç, S., and M. Mendeş. "Multiple Linear Regression versus Automatic Linear Modelling." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 76, no. 1 (2024): 131–36. http://dx.doi.org/10.1590/1678-4162-13071.

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ABSTRACT In this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose. Random numbers generated from multivariate normal distribution by using RNMVN function of IMSL library of Microsoft FORTRAN Developer Studio composed the material of this study. Results of the simulation study showed that the sample size and the number of predictors are the main factors that lead to produce different results. Although both methods gave ve
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5

Hersh, A., and T. B. Newman. "Linear Regression." AAP Grand Rounds 25, no. 6 (2011): 68. http://dx.doi.org/10.1542/gr.25-6-68-a.

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6

Pandis, Nikolaos. "Linear regression." American Journal of Orthodontics and Dentofacial Orthopedics 149, no. 3 (2016): 431–34. http://dx.doi.org/10.1016/j.ajodo.2015.11.019.

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7

Dombrowsky, Thomas. "Linear regression." Nursing 53, no. 9 (2023): 56–60. http://dx.doi.org/10.1097/01.nurse.0000946844.96157.68.

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8

Su, Xiaogang, Xin Yan, and Chih-Ling Tsai. "Linear regression." Wiley Interdisciplinary Reviews: Computational Statistics 4, no. 3 (2012): 275–94. http://dx.doi.org/10.1002/wics.1198.

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9

Marill, Keith A. "Advanced Statistics: Linear Regression,Part I: Simple Linear Regression." Academic Emergency Medicine 11, no. 1 (2004): 87–93. http://dx.doi.org/10.1111/j.1553-2712.2004.tb01378.x.

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10

Marill, Keith A. "Advanced Statistics: Linear Regression, Part II: Multiple Linear Regression." Academic Emergency Medicine 11, no. 1 (2004): 94–102. http://dx.doi.org/10.1111/j.1553-2712.2004.tb01379.x.

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11

MARILL, K. "Advanced statistics: linear regression,*1Part I: simple linear regression." Academic Emergency Medicine 11, no. 1 (2004): 87–93. http://dx.doi.org/10.1016/s1069-6563(03)00600-6.

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12

Kilic, Selim. "Linear regression analysis." Journal of Mood Disorders 3, no. 2 (2013): 90. http://dx.doi.org/10.5455/jmood.20130624120840.

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13

Altman, Naomi, and Martin Krzywinski. "Simple linear regression." Nature Methods 12, no. 11 (2015): 999–1000. http://dx.doi.org/10.1038/nmeth.3627.

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14

Krzywinski, Martin, and Naomi Altman. "Multiple linear regression." Nature Methods 12, no. 12 (2015): 1103–4. http://dx.doi.org/10.1038/nmeth.3665.

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15

Olive, David J. "Linear Regression Analysis." Technometrics 45, no. 4 (2003): 362–63. http://dx.doi.org/10.1198/tech.2003.s163.

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16

Malik, Malik Beshir. "Applied Linear Regression." Technometrics 47, no. 3 (2005): 371–72. http://dx.doi.org/10.1198/tech.2005.s286.

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17

Slinker, Bryan K., and Stanton A. Glantz. "Multiple Linear Regression." Circulation 117, no. 13 (2008): 1732–37. http://dx.doi.org/10.1161/circulationaha.106.654376.

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18

Sedgwick, P. "Simple linear regression." BMJ 346, apr12 1 (2013): f2340. http://dx.doi.org/10.1136/bmj.f2340.

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19

Zhou, Shanggang, and Douglas A. Wolfe. "Localpiecewise linear regression∗." Journal of Nonparametric Statistics 12, no. 1 (1999): 63–75. http://dx.doi.org/10.1080/10485259908832800.

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20

Fletcher, J. "Multiple linear regression." BMJ 338, jan28 3 (2009): b167. http://dx.doi.org/10.1136/bmj.b167.

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21

Bangdiwala, Shrikant I. "Regression: simple linear." International Journal of Injury Control and Safety Promotion 25, no. 1 (2018): 113–15. http://dx.doi.org/10.1080/17457300.2018.1426702.

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22

Bangdiwala, Shrikant I. "Regression: multiple linear." International Journal of Injury Control and Safety Promotion 25, no. 2 (2018): 232–36. http://dx.doi.org/10.1080/17457300.2018.1452336.

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23

Sainani, Kristin L. "Understanding Linear Regression." PM&R 5, no. 12 (2013): 1063–68. http://dx.doi.org/10.1016/j.pmrj.2013.10.002.

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24

Edwards, Martin H. "Linear regression revisited." Physics Teacher 27, no. 4 (1989): 280–81. http://dx.doi.org/10.1119/1.2342759.

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25

Beckman, Richard J. "Applied Linear Regression." Technometrics 29, no. 1 (1987): 119–20. http://dx.doi.org/10.1080/00401706.1987.10488195.

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26

Jajuga, Krzysztof. "Linear fuzzy regression." Fuzzy Sets and Systems 20, no. 3 (1986): 343–53. http://dx.doi.org/10.1016/s0165-0114(86)90045-x.

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27

Ari, Bertan, and H. Altay Güvenir. "Clustered linear regression." Knowledge-Based Systems 15, no. 3 (2002): 169–75. http://dx.doi.org/10.1016/s0950-7051(01)00154-x.

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28

Loynes, R. M., G. A. F. Seber, and C. J. Wild. "Non-Linear Regression." Statistician 39, no. 4 (1990): 467. http://dx.doi.org/10.2307/2349091.

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29

Grégoire, G. "Simple Linear Regression." EAS Publications Series 66 (2014): 19–39. http://dx.doi.org/10.1051/eas/1466003.

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30

Grégoire, G. "Multiple Linear Regression." EAS Publications Series 66 (2014): 45–72. http://dx.doi.org/10.1051/eas/1466005.

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31

Chatfield, C., and S. Weisberg. "Applied Linear Regression." Journal of the Royal Statistical Society. Series A (General) 149, no. 3 (1986): 279. http://dx.doi.org/10.2307/2981572.

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32

Kim, Sungsu, and Ashis SenGupta. "Inverse Circular–Linear/Linear–Circular Regression." Communications in Statistics - Theory and Methods 44, no. 22 (2015): 4772–82. http://dx.doi.org/10.1080/03610926.2013.804561.

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33

Yusuf, Ayomide, and Shadi Alawneh. "GPU Implementation of Sales Forecasting with Linear Regression." International Journal of Innovative Research in Computer Science & Technology 6, no. 4 (2018): 43–48. http://dx.doi.org/10.21276/ijircst.2018.6.4.1.

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34

Subramani, J. "A FAMILY OF UNBIASED MODIFIED LINEAR REGRESSION ESTIMATORS." Mathematical Journal of Interdisciplinary Sciences 4, no. 1 (2015): 77–94. http://dx.doi.org/10.15415/mjis.2015.41008.

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35

Štulajter, František. "Robustness of the best linear unbiased estimator and predictor in linear regression models." Applications of Mathematics 35, no. 2 (1990): 162–68. http://dx.doi.org/10.21136/am.1990.104398.

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36

Hafsa, Fathima, Juveria Soha, Fathima Rida, and Hifsa Naaz Syeda. "An Analysis of Car Price Prediction Using Machine Learning." Research and Reviews: Advancement in Cyber Security 2, no. 2 (2025): 33–40. https://doi.org/10.5281/zenodo.15308198.

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<em>Car price prediction is a critical task in the automotive industry, enabling buyers, sellers, and financial institutions to make informed and objective decisions. This research focuses on applying machine learning techniques, specifically Linear Regression and Lasso Regression to predict used car prices based on multiple factors including fuel type, transmission, seller type, vehicle age, and kilometers driven. The dataset was carefully preprocessed to handle missing values and encode categorical variables, ensuring the data was suitable for model training. Both models were evaluated using
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37

Yao, Weixin, and Longhai Li. "A New Regression Model: Modal Linear Regression." Scandinavian Journal of Statistics 41, no. 3 (2013): 656–71. http://dx.doi.org/10.1111/sjos.12054.

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38

Liu, Xu-Qing, and Feng Gao. "Linearized Ridge Regression Estimator in Linear Regression." Communications in Statistics - Theory and Methods 40, no. 12 (2011): 2182–92. http://dx.doi.org/10.1080/03610921003746693.

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39

Klopfenstein, Quentin, and Samuel Vaiter. "Linear support vector regression with linear constraints." Machine Learning 110, no. 7 (2021): 1939–74. http://dx.doi.org/10.1007/s10994-021-06018-2.

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40

Stahlecker, P., and G. Trenkler. "Linear and ellipsoidal restrictions in linear regression." Statistics 22, no. 2 (1991): 163–76. http://dx.doi.org/10.1080/03610929108802299.

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41

Zebrowski, Ernest, and Leo Takahashi. "Linear regression using a simple linear algorithm." Physics Teacher 25, no. 5 (1987): 320–21. http://dx.doi.org/10.1119/1.2342264.

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42

Yuli, Asbar, Sapnabiby, Pratama Angga, Simarmata Janner, and Abror. "Implementation of Linear Regression to Predict New Student Admissions as a First Step to Determine Campus Marketing Strategy." International Journal of Multidisciplinary Research and Analysis 06, no. 01 (2023): 103–7. https://doi.org/10.5281/zenodo.7515794.

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New student Admission is a routine activity carried out by all educational institutions in Indonesia every year. One of the educational institutions in Indonesia is a private university. Predictions of the development of new student admissions so far have only been made based on speculation using data from previous years. Linear regression is one method that can be used to predict good results. Therefore, this study uses a linear regression method. The test results in this study indicate that the linear regression method has a low error value measured by the error rate using the Mean Absolute
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43

Marriott, F. H. C., J. Neter, W. Wasserman, and M. H. Kutner. "Applied Linear Regression Models." Biometrics 41, no. 2 (1985): 596. http://dx.doi.org/10.2307/2530893.

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44

Thoni, H., J. Neter, W. Wasserman, and M. H. Kutner. "Applied Linear Regression Models." Biometrics 46, no. 1 (1990): 282. http://dx.doi.org/10.2307/2531657.

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45

Svítek, Miroslav. "ITERATED NON-LINEAR REGRESSION." Neural Network World 24, no. 4 (2014): 411–20. http://dx.doi.org/10.14311/nnw.2014.24.024.

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46

Krief, Jerome M. "Semi‐linear mode regression." Econometrics Journal 20, no. 2 (2017): 149–67. http://dx.doi.org/10.1111/ectj.12088.

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47

Yuan, Zheng, and Yuhong Yang. "Combining Linear Regression Models." Journal of the American Statistical Association 100, no. 472 (2005): 1202–14. http://dx.doi.org/10.1198/016214505000000088.

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48

Sedgwick, P. "Correlation versus linear regression." BMJ 346, apr26 1 (2013): f2686. http://dx.doi.org/10.1136/bmj.f2686.

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49

Huang, Yijian. "Fast Censored Linear Regression." Scandinavian Journal of Statistics 40, no. 4 (2013): 789–806. http://dx.doi.org/10.1111/sjos.12031.

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50

Groeneboom, Piet, and Kim Hendrickx. "Current status linear regression." Annals of Statistics 46, no. 4 (2018): 1415–44. http://dx.doi.org/10.1214/17-aos1589.

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