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Journal articles on the topic 'Ridge regression (Statistics)'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

Steece, Bert M. "Regressor space outliers in ridge regression." Communications in Statistics - Theory and Methods 15, no. 12 (January 1986): 3599–605. http://dx.doi.org/10.1080/03610928608829333.

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2

de Boer, Paul M. C., and Christian M. Hafner. "Ridge regression revisited." Statistica Neerlandica 59, no. 4 (October 13, 2005): 498–505. http://dx.doi.org/10.1111/j.1467-9574.2005.00304.x.

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3

Sundberg, Rolf. "Continuum Regression and Ridge Regression." Journal of the Royal Statistical Society: Series B (Methodological) 55, no. 3 (July 1993): 653–59. http://dx.doi.org/10.1111/j.2517-6161.1993.tb01930.x.

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4

Özkale, M. Revan, Stanley Lemeshow, and Rodney Sturdivant. "Logistic regression diagnostics in ridge regression." Computational Statistics 33, no. 2 (July 29, 2017): 563–93. http://dx.doi.org/10.1007/s00180-017-0755-x.

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5

Khalaf, G., Kristofer Månsson, and Ghazi Shukur. "Modified Ridge Regression Estimators." Communications in Statistics - Theory and Methods 42, no. 8 (April 15, 2013): 1476–87. http://dx.doi.org/10.1080/03610926.2011.593285.

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6

McDonald, Gary C. "Tracing ridge regression coefficients." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 6 (September 29, 2010): 695–703. http://dx.doi.org/10.1002/wics.126.

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7

Draper, Norman R., and Agnes M. Herzberg. "A Ridge-Regression Sidelight." American Statistician 41, no. 4 (November 1987): 282. http://dx.doi.org/10.2307/2684750.

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8

Liu, Xu-Qing, and Feng Gao. "Linearized Ridge Regression Estimator in Linear Regression." Communications in Statistics - Theory and Methods 40, no. 12 (April 8, 2011): 2182–92. http://dx.doi.org/10.1080/03610921003746693.

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9

Toker, Selma, Gülesen Üstündağ Şiray, and Selahattin Kaçıranlar. "Inequality constrained ridge regression estimator." Statistics & Probability Letters 83, no. 10 (October 2013): 2391–98. http://dx.doi.org/10.1016/j.spl.2013.06.023.

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10

Jensen, D. R., and D. E. Ramirez. "Concentration reversals in ridge regression." Statistics & Probability Letters 79, no. 21 (November 2009): 2237–41. http://dx.doi.org/10.1016/j.spl.2009.07.022.

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11

Jensen, Donald R., and Donald E. Ramirez. "Anomalies in Ridge Regression: Rejoinder." International Statistical Review 78, no. 2 (June 18, 2010): 215–17. http://dx.doi.org/10.1111/j.1751-5823.2010.00116.x.

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12

Chawla, J. S. "A note on ridge regression." Statistics & Probability Letters 9, no. 4 (April 1990): 343–45. http://dx.doi.org/10.1016/0167-7152(90)90144-v.

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13

Guerard, John B. "Composite forecasting using ridge regression." Communications in Statistics - Theory and Methods 16, no. 4 (January 1987): 937–52. http://dx.doi.org/10.1080/03610928708829414.

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14

Zinodiny, S. "Bayes minimax ridge regression estimators." Communications in Statistics - Theory and Methods 47, no. 22 (March 7, 2018): 5519–33. http://dx.doi.org/10.1080/03610926.2017.1397167.

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15

Türkan, Semra, and Öniz Toktamış. "Detection of influential observations in ridge regression and modified ridge regression." Model Assisted Statistics and Applications 7, no. 2 (April 9, 2012): 91–97. http://dx.doi.org/10.3233/mas-2011-0215.

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16

Zahid, Faisal M., and Shahla Ramzan. "Ordinal ridge regression with categorical predictors." Journal of Applied Statistics 39, no. 1 (January 2012): 161–71. http://dx.doi.org/10.1080/02664763.2011.578622.

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17

Varathan, Nagarajah. "An improved ridge type estimator for logistic regression." Statistics in Transition New Series 23, no. 3 (September 1, 2022): 113–26. http://dx.doi.org/10.2478/stattrans-2022-0033.

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Abstract In this paper, an improved ridge type estimator is introduced to overcome the effect of multi-collinearity in logistic regression. The proposed estimator is called a modified almost unbiased ridge logistic estimator. It is obtained by combining the ridge estimator and the almost unbiased ridge estimator. In order to asses the superiority of the proposed estimator over the existing estimators, theoretical comparisons based on the mean square error and the scalar mean square error criterion are presented. A Monte Carlo simulation study is carried out to compare the performance of the proposed estimator with the existing ones. Finally, a real data example is provided to support the findings.

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18

Flack, Virginia F. "Predictability measures for ridge regression models." Communications in Statistics - Theory and Methods 18, no. 2 (January 1989): 755–66. http://dx.doi.org/10.1080/03610928908829932.

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19

Månsson, Kristofer, and Ghazi Shukur. "On Ridge Parameters in Logistic Regression." Communications in Statistics - Theory and Methods 40, no. 18 (September 15, 2011): 3366–81. http://dx.doi.org/10.1080/03610926.2010.500111.

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20

Arashi, M., M. Janfada, and M. Norouzirad. "Singular Ridge Regression With Stochastic Constraints." Communications in Statistics - Theory and Methods 44, no. 6 (May 16, 2013): 1281–92. http://dx.doi.org/10.1080/03610926.2012.763097.

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21

Park, Mingue, and Min Yang. "Ridge Regression Estimation for Survey Samples." Communications in Statistics - Theory and Methods 37, no. 4 (January 30, 2008): 532–43. http://dx.doi.org/10.1080/03610920701669694.

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22

Kaciranlar, Seiahatim, Saduiiah Sakallioglu, and Fikri Akdeniz. "Mean squared error comparisons of the modified ridge regression estimator and iiie restricted ridge regression estimator." Communications in Statistics - Theory and Methods 27, no. 1 (January 1998): 131–38. http://dx.doi.org/10.1080/03610929808832655.

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23

Saleh, A. K. Md E., and B. M. Golam Kibria. "Improved ridge regression estimators for the logistic regression model." Computational Statistics 28, no. 6 (April 19, 2013): 2519–58. http://dx.doi.org/10.1007/s00180-013-0417-6.

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24

HAITOVSKY, YOEL. "On multivariate ridge regression." Biometrika 74, no. 3 (1987): 563–70. http://dx.doi.org/10.1093/biomet/74.3.563.

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25

Lee, A. H., and M. J. Silvapulle. "Ridge estimation in logistic regression." Communications in Statistics - Simulation and Computation 17, no. 4 (January 1988): 1231–57. http://dx.doi.org/10.1080/03610918808812723.

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26

Kizilaslan, Busenur, Erol Egrioglu, and Atif Ahmet Evren. "Intuitionistic fuzzy ridge regression functions." Communications in Statistics - Simulation and Computation 49, no. 3 (June 13, 2019): 699–708. http://dx.doi.org/10.1080/03610918.2019.1626887.

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27

Özkale, M. Revan. "A stochastic restricted ridge regression estimator." Journal of Multivariate Analysis 100, no. 8 (September 2009): 1706–16. http://dx.doi.org/10.1016/j.jmva.2009.02.005.

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28

Qona’ah, Niswatul, Sutikno, Kiki Ferawati, and Muhammad Bayu Nirwana. "Temperature Forecast Using Ridge Regression as Model Output Statistics." Proceeding International Conference on Science and Engineering 3 (April 30, 2020): 383–88. http://dx.doi.org/10.14421/icse.v3.533.

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Abstract:

Over the past few years, BMKG (Meteorological, Climatological and Geophysical Agency) in Indonesia has used numerical weather forecasting techniques, namely Numerical Weather Prediction (NWP). However, the NWP forecast still has a high bias because it is only measured on a global scale and unable to capture the dynamics of atmosphere (Wilks, 2007). Hence, this study implements Ridge Regression as Model Output Statistics (MOS) for temperature forecast. This study uses the maximum temperature (Tmax) and minimum temperature (Tmin) observation at 4 stations in Indonesia as the response variables and NWP as the predictor variable. The results show that the performance of the model based on Root Mean Square Error of Prediction (RMSEP) is considered to be good and intermediate. The RMSEP for Tmax in all stations is intermediate (0.9-1.2), Tmin in all stations is good (0.5-0.8). The prediction result from Ridge Regression is more accurate than the NWP model and able to correct up to 90.49% of the biased NWP for Tmax forecasting.

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29

Chawla, J. S. "The existence theorem in general ridge regression." Statistics & Probability Letters 7, no. 2 (September 1988): 135–37. http://dx.doi.org/10.1016/0167-7152(88)90039-9.

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30

Jensen, Donald R., and Donald E. Ramirez. "Anomalies in the Foundations of Ridge Regression." International Statistical Review 76, no. 1 (April 2008): 89–105. http://dx.doi.org/10.1111/j.1751-5823.2007.00041.x.

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31

Hoerl, Roger W. "Ridge Regression: A Historical Context." Technometrics 62, no. 4 (October 1, 2020): 420–25. http://dx.doi.org/10.1080/00401706.2020.1742207.

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32

Lee, Tze-San, and Don B. Campbell. "Selecting the optimum k in ridge regression." Communications in Statistics - Theory and Methods 14, no. 7 (January 1985): 1589–604. http://dx.doi.org/10.1080/03610928508828997.

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33

Füle, Erika. "On ecological regression and ridge estimation." Communications in Statistics - Simulation and Computation 24, no. 2 (January 1995): 385–98. http://dx.doi.org/10.1080/03610919508813248.

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34

Arashi, M., S. M. M. Tabatabaey, and M. Hassanzadeh Bashtian. "Shrinkage Ridge Estimators in Linear Regression." Communications in Statistics - Simulation and Computation 43, no. 4 (October 11, 2013): 871–904. http://dx.doi.org/10.1080/03610918.2012.718838.

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35

Saleh, A. K. Md E., and B. M. Golam Kibria. "On some ridge regression estimators: a nonparametric approach." Journal of Nonparametric Statistics 23, no. 3 (September 2011): 819–51. http://dx.doi.org/10.1080/10485252.2011.567335.

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36

Gana, Rajaram. "Ridge regression estimation of the linear probability model." Journal of Applied Statistics 22, no. 4 (January 1995): 537–39. http://dx.doi.org/10.1080/757584790.

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37

Asar, Yasin, and Kadriye Kılınç. "A jackknifed ridge estimator in probit regression model." Statistics 54, no. 4 (June 1, 2020): 667–85. http://dx.doi.org/10.1080/02331888.2020.1775597.

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38

Hadzivukovic, S., E. Nikolic-Djoric, and K. Cobanovic. "The choice of perturbation factor in ridge regression." Journal of Applied Statistics 19, no. 2 (January 1992): 223–30. http://dx.doi.org/10.1080/02664769200000018.

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39

Jahufer, Aboobacker, and Chen Jianbao. "Assessing global influential observations in modified ridge regression." Statistics & Probability Letters 79, no. 4 (February 2009): 513–18. http://dx.doi.org/10.1016/j.spl.2008.09.019.

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40

Hoerl, Arthur E., Robert W. Kennard, and Roger W. Hoerl. "Practical Use of Ridge Regression: A Challenge Met." Applied Statistics 34, no. 2 (1985): 114. http://dx.doi.org/10.2307/2347363.

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41

Chaturvedi, Ancop. "Ridge regression estimators in the linear regression models with non-spherical errors." Communications in Statistics - Theory and Methods 22, no. 8 (January 1993): 2275–84. http://dx.doi.org/10.1080/03610929308831147.

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42

Segerstedt, Bo. "On ordinary ridge regression in generalized linear models." Communications in Statistics - Theory and Methods 21, no. 8 (January 1992): 2227–46. http://dx.doi.org/10.1080/03610929208830909.

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43

Ullah, M. A., G. R. Pasha, and M. Aslam. "Local Influence Diagnostics in the Modified Ridge Regression." Communications in Statistics - Theory and Methods 42, no. 10 (May 15, 2013): 1851–69. http://dx.doi.org/10.1080/03610926.2011.597920.

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44

Batah, Feras Sh M., M. Revan Özkale, and S. D. Gore. "Combining Unbiased Ridge and Principal Component Regression Estimators." Communications in Statistics - Theory and Methods 38, no. 13 (June 16, 2009): 2201–9. http://dx.doi.org/10.1080/03610920802503396.

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45

Alheety, M. I., and T. V. Ramanathan. "Confidence Interval for Shrinkage Parameters in Ridge Regression." Communications in Statistics - Theory and Methods 38, no. 19 (September 16, 2009): 3489–97. http://dx.doi.org/10.1080/03610920802585856.

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46

Kubokawa, Tatsuya, and Muni S. Srivastava. "Improved Empirical Bayes Ridge Regression Estimators Under Multicollinearity." Communications in Statistics - Theory and Methods 33, no. 8 (December 31, 2004): 1943–73. http://dx.doi.org/10.1081/sta-120037452.

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47

Vinod, H. D. "What's the big idea? Ridge regression and regularisation." Significance 17, no. 6 (December 2020): 41. http://dx.doi.org/10.1111/1740-9713.01472.

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48

Kaçıranlar, Selahattin, Sadullah Sakallıoğlu, M. Revan Özkale, and Hüseyin Güler. "More on the restricted ridge regression estimation." Journal of Statistical Computation and Simulation 81, no. 11 (November 2011): 1433–48. http://dx.doi.org/10.1080/00949655.2010.491480.

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49

Özbay, Nimet, Selahattin Kaçıranlar, and Issam Dawoud. "The feasible generalized restricted ridge regression estimator." Journal of Statistical Computation and Simulation 87, no. 4 (August 29, 2016): 753–65. http://dx.doi.org/10.1080/00949655.2016.1224880.

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50

Amin, Muhammad, Muhammad Amanullah, Muhammad Aslam, and Muhammad Qasim. "Influence diagnostics in gamma ridge regression model." Journal of Statistical Computation and Simulation 89, no. 3 (December 17, 2018): 536–56. http://dx.doi.org/10.1080/00949655.2018.1558226.

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