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Multiple regression analysis of twin data

Behavior Genetics, 1985
A multiple regression model for the analysis of twin data is described in which a cotwin's score is predicted from a proband's score and the coefficient of relationship (R=1.0 and 0.5 for identical and fraternal twin pairs, respectively). This model is especially appropriate for the analysis of data on twins in which one member of each pair has been ...
J C, DeFries, D W, Fulker
openaire   +2 more sources

Thematic Map Analysis Using Multiple Regression

Mathematical Geology, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Brower, James C., Merriam, Daniel F.
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On multiple regression analysis

Statistica Neerlandica, 1962
SummaryThe sums of squares associated with the independent variables in a multiple regression equation depend on the order in which these variables are introduced. Two methods have been proposed in the literature to avoid this inconvenience: “forward selection” or “backward elimination”.With forward selection the independent variables are introduced in
openaire   +1 more source

Analysis for multiple fuzzy regression

Fuzzy Sets and Systems, 1988
In order to resolve some regression problems that are more difficult to resolve by the common methods, we establish the relation of multiple fuzzy regression and give its analytical methods. They are not only suited to numerical value variables but can also apply to fuzzy variables.
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Predicting the height of the water-conducting fractured zone using multiple regression analysis and GIS

Environmental Earth Sciences, 2019
Yong Liu   +4 more
semanticscholar   +1 more source

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