رگرسیون خطی (Persian Wikipedia)

Analysis of information sources in references of the Wikipedia article "رگرسیون خطی" in Persian language version.

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31web.archive.org

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acm.org

doi.acm.org

Zhang, Tong (2004). "Solving Large Scale Linear Prediction Problems Using Stochastic Gradient Descent Algorithms". Proceedings of the Twenty-first International Conference on Machine Learning. ICML '04. New York, NY, USA: ACM: 116–. doi:10.1145/1015330.1015332. ISBN 978-1-58113-838-2. Archived from the original on 7 October 2008. Retrieved 17 May 2019.

ams.org

Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). "Least Angle Regression" (PDF). Annals of Statistics. 32 (2): pp. 407–499. arXiv:math/0406456. doi:10.1214/009053604000000067. MR 2060166. Archived from the original (PDF) on 19 June 2018. Retrieved 4 August 2019.
Cook, R. Dennis (February 1977). "Detection of Influential Observations in Linear Regression". Technometrics. American Statistical Association. 19 (1): 15–18. doi:10.2307/1268249. JSTOR 1268249. MR 0436478.

archive.org

Mardia, K. V; Kent, J. T.; Bibby, J. M. (1979). Multivariate Analysis. Academic Press. ISBN 0-12-471252-5.
David A. Freedman (2009). Statistical Models: Theory and Practice. Cambridge University Press. p. 26. A simple regression equation has on the right hand side an intercept and an explanatory variable with a slope coefficient. A multiple regression equation has two or more explanatory variables on the right hand side, each with its own slope coefficient
Koenker, Roger (2005). Quantile Regression. Cambridge University Press. pp. 147. ISBN 978-0-521-60827-5.
Tibshirani, Robert (1996). "Regression Shrinkage and Selection via the Lasso". Journal of the Royal Statistical Society, Series B. 58 (1): 267–288. JSTOR 2346178.
Koenker, Roger (2005). Quantile Regression. Cambridge University Press. ISBN 978-0-521-60827-5.
Warne, Russell T. (2011). "Beyond multiple regression: Using commonality analysis to better understand R2 results". Gifted Child Quarterly. 55 (4): 313–318. doi:10.1177/0016986211422217.
Berk, Richard A. (2007). "Regression Analysis: A Constructive Critique". Criminal Justice Review. 32 (3): 301–302. doi:10.1177/0734016807304871.
Cook, R. Dennis (February 1977). "Detection of Influential Observations in Linear Regression". Technometrics. American Statistical Association. 19 (1): 15–18. doi:10.2307/1268249. JSTOR 1268249. MR 0436478.
Deaton, Angus (1992). Understanding Consumption. Oxford University Press. ISBN 978-0-19-828824-4.

arxiv.org

Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). "Least Angle Regression" (PDF). Annals of Statistics. 32 (2): pp. 407–499. arXiv:math/0406456. doi:10.1214/009053604000000067. MR 2060166. Archived from the original (PDF) on 19 June 2018. Retrieved 4 August 2019.

atsjournals.org

ajrccm.atsjournals.org

"Environmental Tobacco Smoke and Adult Asthma" بایگانی‌شده در ۲۱ فوریه ۲۰۰۹ توسط Wayback Machine Division of Pulmonary and Critical Care Medicine, Division of Occupational and Environmental Medicine; Department of Medicine, Institute for Health Policy Studies; and Department of Epidemiology and Biostatistics, Universidad de California, San Francisco, California. (en inglés)

books.google.com

A.M. Legendre. Nouvelles méthodes pour la détermination des orbites des comètes بایگانی‌شده در ۷ ژوئن ۲۰۱۹ توسط Wayback Machine, Firmin Didot, Paris, 1805. “Sur la Méthode des moindres quarrés” appears as an appendix.
Yan, Xin (2009), Linear Regression Analysis: Theory and Computing, World Scientific, pp. 1–2, ISBN 9789812834119, archived from the original on 8 June 2019, retrieved 25 September 2018, Regression analysis … is probably one of the oldest topics in mathematical statistics dating back to about two hundred years ago. The earliest form of the linear regression was the least squares method, which was published by Legendre in 1805, and by Gauss in 1809 … Legendre and Gauss both applied the method to the problem of determining, from astronomical observations, the orbits of bodies about the sun.
C.F. Gauss. Theoria combinationis observationum erroribus minimis obnoxiae بایگانی‌شده در ۱۰ ژوئن ۲۰۱۹ توسط Wayback Machine. (1821/1823)
Rencher, Alvin C.; Christensen, William F. (2012), "Chapter 10, Multivariate regression – Section 10.1, Introduction", Methods of Multivariate Analysis, Wiley Series in Probability and Statistics, vol. 709 (3rd ed.), John Wiley & Sons, p. 19, ISBN 978-1-118-39167-9, archived from the original on 15 June 2019, retrieved 25 September 2018.
Rencher, Alvin C.; Christensen, William F. (2012-08-15). Methods of Multivariate Analysis (به انگلیسی). John Wiley & Sons. p. 19. Archived from the original on 5 October 2018.
Yan, Xin (2009). Linear Regression Analysis: Theory and Computing (به انگلیسی). World Scientific. Archived from the original on 5 October 2018.
Rencher, Alvin C.; Christensen, William F. (2012-08-15). Methods of Multivariate Analysis (به انگلیسی). John Wiley & Sons. p. 155. Archived from the original on 5 October 2018.
Bishop, Christopher M (2016-08-23). Pattern Recognition and Machine Learning (به انگلیسی). New York: Springer New York. p. 30. Archived from the original on 7 April 2022. Retrieved 17 November 2018.{{cite book}}: نگهداری یادکرد:تاریخ و سال (link)

doi.org

Galton, Francis (1886). "Regression Towards Mediocrity in Hereditary Stature". The Journal of the Anthropological Institute of Great Britain and Ireland. 15: 246–263. doi:10.2307/2841583. JSTOR 2841583. Archived from the original on 4 August 2019. Retrieved 4 August 2019.
Seal, Hilary L. (1967). "Studies in the History of Probability and Statistics. XV: The Historical Development of the Gauss Linear Model". Biometrika. 54 (1/2): 1–24. doi:10.2307/2333849. ISSN 0006-3444. Archived from the original on 24 January 2020. Retrieved 24 January 2020.
Fisher, R.A. (1922). "The goodness of fit of regression formulae, and the distribution of regression coefficients". Journal of the Royal Statistical Society. 85 (4): 597–612. doi:10.2307/2341124. JSTOR 2341124. PMC 1084801.
Poole, Michael A.; O'Farrell, Patrick N. (1971). "The Assumptions of the Linear Regression Model". Transactions of the Institute of British Geographers (52): 145–158. doi:10.2307/621706. ISSN 0020-2754. Archived from the original on 24 May 2019. Retrieved 22 May 2019.
Allen, R. G. D. (1939). "The Assumptions of Linear Regression". Economica. 6 (22): 191–201. doi:10.2307/2548931. ISSN 0013-0427. Archived from the original on 24 May 2019. Retrieved 22 May 2019.
Hilary L. Seal (1967). "The historical development of the Gauss linear model". Biometrika. 54 (1/2): 1–24. doi:10.1093/biomet/54.1-2.1. JSTOR 2333849.
Golub, Gene H.; Hansen, Per Christian.; O'Leary, Dianne P. (1999-01-01). "Tikhonov Regularization and Total Least Squares". SIAM Journal on Matrix Analysis and Applications. 21 (1): 185–194. doi:10.1137/S0895479897326432. ISSN 0895-4798. Archived from the original on 10 September 2014. Retrieved 19 December 2019.
Jolliffe, Ian T. (1982). "A note on the Use of Principal Components in Regression". Journal of the Royal Statistical Society, Series C. 31 (3): 300–303. doi:10.2307/2348005. JSTOR 2348005.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 80–82. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Zhang, Tong (2004). "Solving Large Scale Linear Prediction Problems Using Stochastic Gradient Descent Algorithms". Proceedings of the Twenty-first International Conference on Machine Learning. ICML '04. New York, NY, USA: ACM: 116–. doi:10.1145/1015330.1015332. ISBN 978-1-58113-838-2. Archived from the original on 7 October 2008. Retrieved 17 May 2019.
Bühlmann, Peter; van de Geer, Sara (2011). "Statistics for High-Dimensional Data". Springer Series in Statistics (به انگلیسی). doi:10.1007/978-3-642-20192-9. ISSN 0172-7397. Archived from the original on 21 February 2019. Retrieved 5 October 2018.
Bühlmann, Peter; van de Geer, Sara (2011). Theory for ℓ1/ℓ2-penalty procedures (به انگلیسی). Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 249–291. doi:10.1007/978-3-642-20192-9_8. Archived from the original on 5 October 2018. Retrieved 5 October 2018.
Natarajan, B. K. (1995). "Sparse Approximate Solutions to Linear Systems". SIAM Journal on Computing (به انگلیسی). 24 (2): 227–234. doi:10.1137/s0097539792240406. ISSN 0097-5397. Archived from the original on 24 May 2019. Retrieved 5 October 2018.
Robert, Christian (2014-04-03). "Machine Learning, a Probabilistic Perspective". CHANCE (به انگلیسی). 27 (2): 62–63. doi:10.1080/09332480.2014.914768. ISSN 0933-2480. Archived from the original on 8 April 2019. Retrieved 15 November 2018.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 58. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 68–69. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 61–64. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Cade, Brian S.; Noon, Barry R. (2003). "A gentle introduction to quantile regression for ecologists" (PDF). Frontiers in Ecology and the Environment. 1 (8): 412–420. doi:10.2307/3868138. JSTOR 3868138. Archived from the original (PDF) on 7 January 2019. Retrieved 17 August 2019.
Fraley, Chris; Meier, Lukas; Choi, Nam Hee; Hesterberg, Tim (2008). "Least angle and ℓ1 penalized regression: A review". Statistics Surveys (به انگلیسی). 2: 61–93. doi:10.1214/08-SS035. ISSN 1935-7516. Archived from the original on 29 March 2019. Retrieved 17 August 2019.
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). "Least Angle Regression" (PDF). Annals of Statistics. 32 (2): pp. 407–499. arXiv:math/0406456. doi:10.1214/009053604000000067. MR 2060166. Archived from the original (PDF) on 19 June 2018. Retrieved 4 August 2019.
Cleveland, William S.; Devlin, Susan J. (1988-09-01). "Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting". Journal of the American Statistical Association. 83 (403): 596–610. doi:10.1080/01621459.1988.10478639. ISSN 0162-1459. Archived from the original on 22 May 2019. Retrieved 4 August 2019.
Goldberger, Arthur S. (1962-06-01). "Best Linear Unbiased Prediction in the Generalized Linear Regression Model". Journal of the American Statistical Association. 57 (298): 369–375. doi:10.1080/01621459.1962.10480665. ISSN 0162-1459. Archived from the original on 18 February 2021. Retrieved 4 August 2019.
Warne, Russell T. (2011). "Beyond multiple regression: Using commonality analysis to better understand R2 results". Gifted Child Quarterly. 55 (4): 313–318. doi:10.1177/0016986211422217.
Berk, Richard A. (2007). "Regression Analysis: A Constructive Critique". Criminal Justice Review. 32 (3): 301–302. doi:10.1177/0734016807304871.
Cook, R. Dennis (February 1977). "Detection of Influential Observations in Linear Regression". Technometrics. American Statistical Association. 19 (1): 15–18. doi:10.2307/1268249. JSTOR 1268249. MR 0436478.
Anscombe, F. J. (1973). "Graphs in Statistical Analysis". American Statistician. 27 (1): 17–21. doi:10.1080/00031305.1973.10478966. JSTOR 2682899.
Cook, Douglas O.; Kieschnick, Robert; McCullough, B. D. (2008-12-01). "Regression analysis of proportions in finance with self selection". Journal of Empirical Finance. 15 (5): 860–867. doi:10.1016/j.jempfin.2008.02.001. ISSN 0927-5398. Archived from the original on 24 May 2019. Retrieved 21 May 2019.

ec.gc.ca

EEMP webpage بایگانی‌شده در ۲۰۱۱-۰۶-۱۱ توسط Wayback Machine

encyclopedia.com

David C. Atkins. "Regression". www.encyclopedia.com (به انگلیسی). Archived from the original on 25 May 2019. Retrieved 2019-08-04.

imf.org

Rodney Ramcharan. Regressions: Why Are Economists Obessessed with Them? بایگانی‌شده در ۵ اوت ۲۰۲۰ توسط Wayback Machine March 2006. Accessed 2011-12-03.

jstor.org

Galton, Francis (1886). "Regression Towards Mediocrity in Hereditary Stature". The Journal of the Anthropological Institute of Great Britain and Ireland. 15: 246–263. doi:10.2307/2841583. JSTOR 2841583. Archived from the original on 4 August 2019. Retrieved 4 August 2019.
Seal, Hilary L. (1967). "Studies in the History of Probability and Statistics. XV: The Historical Development of the Gauss Linear Model". Biometrika. 54 (1/2): 1–24. doi:10.2307/2333849. ISSN 0006-3444. Archived from the original on 24 January 2020. Retrieved 24 January 2020.
Fisher, R.A. (1922). "The goodness of fit of regression formulae, and the distribution of regression coefficients". Journal of the Royal Statistical Society. 85 (4): 597–612. doi:10.2307/2341124. JSTOR 2341124. PMC 1084801.
Aldrich, John (2005). "Fisher and Regression". Statistical Science. 20 (4): 401–417. ISSN 0883-4237. Archived from the original on 24 January 2020. Retrieved 24 January 2020.
Poole, Michael A.; O'Farrell, Patrick N. (1971). "The Assumptions of the Linear Regression Model". Transactions of the Institute of British Geographers (52): 145–158. doi:10.2307/621706. ISSN 0020-2754. Archived from the original on 24 May 2019. Retrieved 22 May 2019.
Allen, R. G. D. (1939). "The Assumptions of Linear Regression". Economica. 6 (22): 191–201. doi:10.2307/2548931. ISSN 0013-0427. Archived from the original on 24 May 2019. Retrieved 22 May 2019.
Tibshirani, Robert (1996). "Regression Shrinkage and Selection via the Lasso". Journal of the Royal Statistical Society, Series B. 58 (1): 267–288. JSTOR 2346178.
Hilary L. Seal (1967). "The historical development of the Gauss linear model". Biometrika. 54 (1/2): 1–24. doi:10.1093/biomet/54.1-2.1. JSTOR 2333849.
Jolliffe, Ian T. (1982). "A note on the Use of Principal Components in Regression". Journal of the Royal Statistical Society, Series C. 31 (3): 300–303. doi:10.2307/2348005. JSTOR 2348005.
Cade, Brian S.; Noon, Barry R. (2003). "A gentle introduction to quantile regression for ecologists" (PDF). Frontiers in Ecology and the Environment. 1 (8): 412–420. doi:10.2307/3868138. JSTOR 3868138. Archived from the original (PDF) on 7 January 2019. Retrieved 17 August 2019.
Cook, R. Dennis (February 1977). "Detection of Influential Observations in Linear Regression". Technometrics. American Statistical Association. 19 (1): 15–18. doi:10.2307/1268249. JSTOR 1268249. MR 0436478.
Anscombe, F. J. (1973). "Graphs in Statistical Analysis". American Statistician. 27 (1): 17–21. doi:10.1080/00031305.1973.10478966. JSTOR 2682899.
Dodhia, Rahul M. (2005). "Review of Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences". Journal of Educational and Behavioral Statistics. 30 (2): 227–229. ISSN 1076-9986. Archived from the original on 24 May 2019. Retrieved 21 May 2019.

lagout.org

doc.lagout.org

Machine learning: a probabilistic perspective بایگانی‌شده در ۴ نوامبر ۲۰۱۸ توسط Wayback Machine, Kevin P Murphy, 2012, p. 225, Cambridge, MA
Machine learning: a probabilistic perspective بایگانی‌شده در ۴ نوامبر ۲۰۱۸ توسط Wayback Machine, Kevin P Murphy, 2012, p. 217, Cambridge, MA

nih.gov

ncbi.nlm.nih.gov

Fisher, R.A. (1922). "The goodness of fit of regression formulae, and the distribution of regression coefficients". Journal of the Royal Statistical Society. 85 (4): 597–612. doi:10.2307/2341124. JSTOR 2341124. PMC 1084801.

pitt.edu

people.cs.pitt.edu

"Linear Regression (Machine Learning)" (PDF). University of Pittsburgh. Archived from the original (PDF) on 2 February 2017. Retrieved 21 May 2019.

projecteuclid.org

Fraley, Chris; Meier, Lukas; Choi, Nam Hee; Hesterberg, Tim (2008). "Least angle and ℓ1 penalized regression: A review". Statistics Surveys (به انگلیسی). 2: 61–93. doi:10.1214/08-SS035. ISSN 1935-7516. Archived from the original on 29 March 2019. Retrieved 17 August 2019.

researchgate.net

"(PDF) Application of polynomial regression models for prediction of stress state in structural elements". ResearchGate (به انگلیسی). Archived from the original on 18 February 2021. Retrieved 2019-08-17.

sciencedirect.com

Cook, Douglas O.; Kieschnick, Robert; McCullough, B. D. (2008-12-01). "Regression analysis of proportions in finance with self selection". Journal of Empirical Finance. 15 (5): 860–867. doi:10.1016/j.jempfin.2008.02.001. ISSN 0927-5398. Archived from the original on 24 May 2019. Retrieved 21 May 2019.

siam.org

epubs.siam.org

Golub, Gene H.; Hansen, Per Christian.; O'Leary, Dianne P. (1999-01-01). "Tikhonov Regularization and Total Least Squares". SIAM Journal on Matrix Analysis and Applications. 21 (1): 185–194. doi:10.1137/S0895479897326432. ISSN 0895-4798. Archived from the original on 10 September 2014. Retrieved 19 December 2019.
Natarajan, B. K. (1995). "Sparse Approximate Solutions to Linear Systems". SIAM Journal on Computing (به انگلیسی). 24 (2): 227–234. doi:10.1137/s0097539792240406. ISSN 0097-5397. Archived from the original on 24 May 2019. Retrieved 5 October 2018.

springer.com

link.springer.com

Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 80–82. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Bühlmann, Peter; van de Geer, Sara (2011). "Statistics for High-Dimensional Data". Springer Series in Statistics (به انگلیسی). doi:10.1007/978-3-642-20192-9. ISSN 0172-7397. Archived from the original on 21 February 2019. Retrieved 5 October 2018.
Bühlmann, Peter; van de Geer, Sara (2011). Theory for ℓ1/ℓ2-penalty procedures (به انگلیسی). Berlin, Heidelberg: Springer Berlin Heidelberg. pp. 249–291. doi:10.1007/978-3-642-20192-9_8. Archived from the original on 5 October 2018. Retrieved 5 October 2018.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 58. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 68–69. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 61–64. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.

stanford.edu

statweb.stanford.edu

Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). "Least Angle Regression" (PDF). Annals of Statistics. 32 (2): pp. 407–499. arXiv:math/0406456. doi:10.1214/009053604000000067. MR 2060166. Archived from the original (PDF) on 19 June 2018. Retrieved 4 August 2019.

tandfonline.com

Robert, Christian (2014-04-03). "Machine Learning, a Probabilistic Perspective". CHANCE (به انگلیسی). 27 (2): 62–63. doi:10.1080/09332480.2014.914768. ISSN 0933-2480. Archived from the original on 8 April 2019. Retrieved 15 November 2018.
Cleveland, William S.; Devlin, Susan J. (1988-09-01). "Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting". Journal of the American Statistical Association. 83 (403): 596–610. doi:10.1080/01621459.1988.10478639. ISSN 0162-1459. Archived from the original on 22 May 2019. Retrieved 4 August 2019.
Goldberger, Arthur S. (1962-06-01). "Best Linear Unbiased Prediction in the Generalized Linear Regression Model". Journal of the American Statistical Association. 57 (298): 369–375. doi:10.1080/01621459.1962.10480665. ISSN 0162-1459. Archived from the original on 18 February 2021. Retrieved 4 August 2019.

uiuc.edu

econ.uiuc.edu

Cade, Brian S.; Noon, Barry R. (2003). "A gentle introduction to quantile regression for ecologists" (PDF). Frontiers in Ecology and the Environment. 1 (8): 412–420. doi:10.2307/3868138. JSTOR 3868138. Archived from the original (PDF) on 7 January 2019. Retrieved 17 August 2019.

web.archive.org

Galton, Francis (1886). "Regression Towards Mediocrity in Hereditary Stature". The Journal of the Anthropological Institute of Great Britain and Ireland. 15: 246–263. doi:10.2307/2841583. JSTOR 2841583. Archived from the original on 4 August 2019. Retrieved 4 August 2019.
A.M. Legendre. Nouvelles méthodes pour la détermination des orbites des comètes بایگانی‌شده در ۷ ژوئن ۲۰۱۹ توسط Wayback Machine, Firmin Didot, Paris, 1805. “Sur la Méthode des moindres quarrés” appears as an appendix.
Yan, Xin (2009), Linear Regression Analysis: Theory and Computing, World Scientific, pp. 1–2, ISBN 9789812834119, archived from the original on 8 June 2019, retrieved 25 September 2018, Regression analysis … is probably one of the oldest topics in mathematical statistics dating back to about two hundred years ago. The earliest form of the linear regression was the least squares method, which was published by Legendre in 1805, and by Gauss in 1809 … Legendre and Gauss both applied the method to the problem of determining, from astronomical observations, the orbits of bodies about the sun.
C.F. Gauss. Theoria combinationis observationum erroribus minimis obnoxiae بایگانی‌شده در ۱۰ ژوئن ۲۰۱۹ توسط Wayback Machine. (1821/1823)
Seal, Hilary L. (1967). "Studies in the History of Probability and Statistics. XV: The Historical Development of the Gauss Linear Model". Biometrika. 54 (1/2): 1–24. doi:10.2307/2333849. ISSN 0006-3444. Archived from the original on 24 January 2020. Retrieved 24 January 2020.
Aldrich, John (2005). "Fisher and Regression". Statistical Science. 20 (4): 401–417. ISSN 0883-4237. Archived from the original on 24 January 2020. Retrieved 24 January 2020.
David C. Atkins. "Regression". www.encyclopedia.com (به انگلیسی). Archived from the original on 25 May 2019. Retrieved 2019-08-04.
Rodney Ramcharan. Regressions: Why Are Economists Obessessed with Them? بایگانی‌شده در ۵ اوت ۲۰۲۰ توسط Wayback Machine March 2006. Accessed 2011-12-03.
Rencher, Alvin C.; Christensen, William F. (2012), "Chapter 10, Multivariate regression – Section 10.1, Introduction", Methods of Multivariate Analysis, Wiley Series in Probability and Statistics, vol. 709 (3rd ed.), John Wiley & Sons, p. 19, ISBN 978-1-118-39167-9, archived from the original on 15 June 2019, retrieved 25 September 2018.
Golub, Gene H.; Hansen, Per Christian.; O'Leary, Dianne P. (1999-01-01). "Tikhonov Regularization and Total Least Squares". SIAM Journal on Matrix Analysis and Applications. 21 (1): 185–194. doi:10.1137/S0895479897326432. ISSN 0895-4798. Archived from the original on 10 September 2014. Retrieved 19 December 2019.
Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "The Elements of Statistical Learning". Springer Series in Statistics (به انگلیسی): 80–82. doi:10.1007/978-0-387-84858-7. ISSN 0172-7397. Archived from the original on 27 December 2019. Retrieved 30 December 2019.
Zhang, Tong (2004). "Solving Large Scale Linear Prediction Problems Using Stochastic Gradient Descent Algorithms". Proceedings of the Twenty-first International Conference on Machine Learning. ICML '04. New York, NY, USA: ACM: 116–. doi:10.1145/1015330.1015332. ISBN 978-1-58113-838-2. Archived from the original on 7 October 2008. Retrieved 17 May 2019.
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