Autor:	Kalaba, R. E., Johnson, J., Natsuyama, H. H.
Předmět:	LEAST squares ALGORITHMS LINEAR statistical models DYNAMIC programming MULTICOLLINEARITY MATHEMATICAL optimization MATHEMATICAL models ALGEBRA REGRESSION analysis
Zdroj:	Journal of Optimization Theory & Applications; Dec2005, Vol. 127 Issue 3, p515-522, 8p
Abstrakt:	This paper shows how the output derived from the αQβR algorithm can be used to calculate various statistical quantities needed to evaluate linear models. In particular, we show how to calculate standard statistical quantities like the coefficient of determination R², the F-statistics, and the t-statistics. These quantities serve as a measure of how well the model fits the data. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Full text from SpringerLink