Linearna regresija (Serbian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Linearna regresija" in Serbian language version.

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archive.org

Freedman, David A. (2009). Statistical Models: Theory and Practice. Cambridge University Press. стр. 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”
Bishop, Christopher M. (2006). Pattern Recognition and Machine Learning. Springer. стр. 3.
Hoerl, Arthur E. (1962). „Application of Ridge Analysis to Regression Problems”. Chemical Engineering Progress. 58 (3): 54—59.
Hoerl, R. W.; Kennard (1970). „Ridge regression: Biased estimation for nonorthogonal problems”. Technometrics. 12 (1): 55—67. JSTOR 1271436. doi:10.2307/1267351.

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, 709 (3rd изд.), John Wiley & Sons, стр. 19, ISBN 9781118391679
Yan, Xin (2009), Linear Regression Analysis: Theory and Computing, World Scientific, стр. 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.”

Seal, Hilary L. (1967). „The historical development of the Gauss linear model”. Biometrika. 54 (1/2): 1—24. JSTOR 2333849. doi:10.1093/biomet/54.1-2.1.
Waegeman, Willem; De Baets, Bernard; Boullart, Luc (2008). „ROC analysis in ordinal regression learning”. Pattern Recognition Letters. 29: 1—9. doi:10.1016/j.patrec.2007.07.019.
Stigler, Stephen M. (1981). „Gauss and the Invention of Least Squares”. Ann. Stat. 9 (3): 465—474. doi:10.1214/aos/1176345451.
Foster, M. (1961). „An Application of the Wiener-Kolmogorov Smoothing Theory to Matrix Inversion”. Journal of the Society for Industrial and Applied Mathematics. 9 (3): 387. doi:10.1137/0109031.
Hoerl, R. W.; Kennard (1970). „Ridge regression: Biased estimation for nonorthogonal problems”. Technometrics. 12 (1): 55—67. JSTOR 1271436. doi:10.2307/1267351.

Seal, Hilary L. (1967). „The historical development of the Gauss linear model”. Biometrika. 54 (1/2): 1—24. JSTOR 2333849. doi:10.1093/biomet/54.1-2.1.
Hoerl, R. W.; Kennard (1970). „Ridge regression: Biased estimation for nonorthogonal problems”. Technometrics. 12 (1): 55—67. JSTOR 1271436. doi:10.2307/1267351.

Statistical significance of segmented linear regression with break-point using variance analysis and F-tests. Download from [1] under nr. 13, or directly as PDF : [2]