Results 271 to 280 of about 1,688,491 (311)

Influence Contours in Linear Regression

Computational Statistics, 2002
A visual method of studying influence measures in linear regression is proposed. The authors suggest a contour plot approach based on adding new observations to the existing data sets (instead of omitting observations in usually used procedures) for investigating the behaviour of the well-established influence measures.
Zsolt Lengvárszky, R. Webster West
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Understanding Linear Regression

PM&R, 2013
Multivariate regression is a powerful statistical technique that allows researchers to explore multiple predictors simultaneously, to adjust for confounding, to test for interactions, and to improve predictions. Commonly used regression models include linear regression, logistic regression, and Cox regression.
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extensions in linear regression

Proceedings of the annual conference on - ACM'73, 1973
In regression analysis, the computed equation is the one for which the sum of the squares of the “Absolute Residual Errors” is a minimum. It is very common for the equation to be accepted or rejected on the basis of the magnitude of the “Percent Residual Error” at each data point.
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Linearized Restricted Ridge Regression Estimator in Linear Regression

Communications in Statistics - Theory and Methods, 2012
This article primarily aims to put forward the linearized restricted ridge regression (LRRR) estimator in linear regression models. Two types of LRRR estimators are investigated under the PRESS criterion and the optimal LRRR estimators and the optimal restricted generalized ridge regression estimator are obtained.
Xu-Qing Liu, Feng Gao, Jian-Wen Xu
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Regression and the Linear Model

1981
A key feature in most statistical analyses is a statistical model and it will be helpful to look at examples of some simple models, and then discuss some terminology.
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Multiple linear regression

Nature Methods, 2015
Martin, Krzywinski, Naomi, Altman
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Lineare Regression

1998
Karsten Schmidt, Götz Trenkler
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A study over the general formula of regression sum of squares in multiple linear regression

Numerical Methods for Partial Differential Equations, 2021
Mehmet Korkmaz
exaly  

Linear regression and correlation

Transfusion, 2016
Aaron S. Hess, John R. Hess
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Linear Regression Technique

Thrombosis and Haemostasis, 1976
B M, Duncan, J V, Lloyd
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