Գծային ռեգրեսիա (Armenian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Գծային ռեգրեսիա" in Armenian language version.

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1pitt.edu

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ams.org

mathscinet.ams.org

Theil, H. (1950). «A rank-invariant method of linear and polynomial regression analysis. I, II, III». Nederl. Akad. Wetensch., Proc. 53: 386–392, 521–525, 1397–1412. MR 0036489.; Sen, Pranab Kumar (1968). «Estimates of the regression coefficient based on Kendall's tau». Journal of the American Statistical Association. 63 (324): 1379–1389. doi:10.2307/2285891. JSTOR 2285891. MR 0258201..

archive.org

David A. Freedman (2009). Statistical Models: Theory and Practice. Cambridge University Press. էջ 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»
Tibshirani, Robert (1996). «Regression Shrinkage and Selection via the Lasso». Journal of the Royal Statistical Society, Series B. 58 (1): 267–288. JSTOR 2346178.
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). «Least Angle Regression». The Annals of Statistics. 32 (2): 407–451. arXiv:math/0406456. doi:10.1214/009053604000000067. JSTOR 3448465.
Swindel, Benee F. (1981). «Geometry of Ridge Regression Illustrated». The American Statistician. 35 (1): 12–15. doi:10.2307/2683577. JSTOR 2683577.
Draper, Norman R.; van Nostrand; R. Craig (1979). «Ridge Regression and James-Stein Estimation: Review and Comments». Technometrics. 21 (4): 451–466. doi:10.2307/1268284. JSTOR 1268284.
Stone, C. J. (1975). «Adaptive maximum likelihood estimators of a location parameter». The Annals of Statistics. 3 (2): 267–284. doi:10.1214/aos/1176343056. JSTOR 2958945.
Theil, H. (1950). «A rank-invariant method of linear and polynomial regression analysis. I, II, III». Nederl. Akad. Wetensch., Proc. 53: 386–392, 521–525, 1397–1412. MR 0036489.; Sen, Pranab Kumar (1968). «Estimates of the regression coefficient based on Kendall's tau». Journal of the American Statistical Association. 63 (324): 1379–1389. doi:10.2307/2285891. JSTOR 2285891. MR 0258201..
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». The Annals of Statistics. 32 (2): 407–451. arXiv:math/0406456. doi:10.1214/009053604000000067. JSTOR 3448465.

books.google.com

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, էջ 19, ISBN 9781118391679.
Yan, Xin (2009), Linear Regression Analysis: Theory and Computing, World Scientific, էջեր 1–2, ISBN 9789812834119, «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.»

doi.org

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.
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). «Least Angle Regression». The Annals of Statistics. 32 (2): 407–451. arXiv:math/0406456. doi:10.1214/009053604000000067. JSTOR 3448465.
Lange, Kenneth L.; Little, Roderick J. A.; Taylor, Jeremy M. G. (1989). «Robust Statistical Modeling Using the t Distribution» (PDF). Journal of the American Statistical Association. 84 (408): 881–896. doi:10.2307/2290063. JSTOR 2290063.
Swindel, Benee F. (1981). «Geometry of Ridge Regression Illustrated». The American Statistician. 35 (1): 12–15. doi:10.2307/2683577. JSTOR 2683577.
Draper, Norman R.; van Nostrand; R. Craig (1979). «Ridge Regression and James-Stein Estimation: Review and Comments». Technometrics. 21 (4): 451–466. doi:10.2307/1268284. JSTOR 1268284.
Narula, Subhash C.; Wellington, John F. (1982). «The Minimum Sum of Absolute Errors Regression: A State of the Art Survey». International Statistical Review. 50 (3): 317–326. doi:10.2307/1402501. JSTOR 1402501.
Stone, C. J. (1975). «Adaptive maximum likelihood estimators of a location parameter». The Annals of Statistics. 3 (2): 267–284. doi:10.1214/aos/1176343056. JSTOR 2958945.
Theil, H. (1950). «A rank-invariant method of linear and polynomial regression analysis. I, II, III». Nederl. Akad. Wetensch., Proc. 53: 386–392, 521–525, 1397–1412. MR 0036489.; Sen, Pranab Kumar (1968). «Estimates of the regression coefficient based on Kendall's tau». Journal of the American Statistical Association. 63 (324): 1379–1389. doi:10.2307/2285891. JSTOR 2285891. MR 0258201..

escholarship.org

cloudfront.escholarship.org

Lange, Kenneth L.; Little, Roderick J. A.; Taylor, Jeremy M. G. (1989). «Robust Statistical Modeling Using the t Distribution» (PDF). Journal of the American Statistical Association. 84 (408): 881–896. doi:10.2307/2290063. JSTOR 2290063.

jstor.org

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.
Tibshirani, Robert (1996). «Regression Shrinkage and Selection via the Lasso». Journal of the Royal Statistical Society, Series B. 58 (1): 267–288. JSTOR 2346178.
Efron, Bradley; Hastie, Trevor; Johnstone, Iain; Tibshirani, Robert (2004). «Least Angle Regression». The Annals of Statistics. 32 (2): 407–451. arXiv:math/0406456. doi:10.1214/009053604000000067. JSTOR 3448465.
Hawkins, Douglas M. (1973). «On the Investigation of Alternative Regressions by Principal Component Analysis». Journal of the Royal Statistical Society, Series C. 22 (3): 275–286. JSTOR 2346776.
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. JSTOR 2348005.
Lange, Kenneth L.; Little, Roderick J. A.; Taylor, Jeremy M. G. (1989). «Robust Statistical Modeling Using the t Distribution» (PDF). Journal of the American Statistical Association. 84 (408): 881–896. doi:10.2307/2290063. JSTOR 2290063.
Swindel, Benee F. (1981). «Geometry of Ridge Regression Illustrated». The American Statistician. 35 (1): 12–15. doi:10.2307/2683577. JSTOR 2683577.
Draper, Norman R.; van Nostrand; R. Craig (1979). «Ridge Regression and James-Stein Estimation: Review and Comments». Technometrics. 21 (4): 451–466. doi:10.2307/1268284. JSTOR 1268284.
Hoerl, Arthur E.; Kennard, Robert W.; Hoerl, Roger W. (1985). «Practical Use of Ridge Regression: A Challenge Met». Journal of the Royal Statistical Society, Series C. 34 (2): 114–120. JSTOR 2347363.
Narula, Subhash C.; Wellington, John F. (1982). «The Minimum Sum of Absolute Errors Regression: A State of the Art Survey». International Statistical Review. 50 (3): 317–326. doi:10.2307/1402501. JSTOR 1402501.
Stone, C. J. (1975). «Adaptive maximum likelihood estimators of a location parameter». The Annals of Statistics. 3 (2): 267–284. doi:10.1214/aos/1176343056. JSTOR 2958945.
Theil, H. (1950). «A rank-invariant method of linear and polynomial regression analysis. I, II, III». Nederl. Akad. Wetensch., Proc. 53: 386–392, 521–525, 1397–1412. MR 0036489.; Sen, Pranab Kumar (1968). «Estimates of the regression coefficient based on Kendall's tau». Journal of the American Statistical Association. 63 (324): 1379–1389. doi:10.2307/2285891. JSTOR 2285891. MR 0258201..

pitt.edu

people.cs.pitt.edu

«Linear Regression (Machine Learning)» (PDF). University of Pittsburgh.