Linear Regression Analysis with Missing Observations among the Independent Variables
Journal of the American Statistical AssociationPublished 1 September 1964
Marvin Glasser
Citations92
SJR quartileQ1
SJR score4.10
SNIP3.08
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Abstract
Abstract An intuitive estimate is presented for estimating linear regression coefficients when an unspecified number and pattern of the independent variables for some individuals are not observed. It is shown that the efficiency of this approach depends upon the correlation among the independent variables as well as the proportion of observations which is missing.
Keywords
Computer ScienceEngineering
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