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Detection of Influential Observation in Linear Regression
R. Dennis Cook
Vol. 19, No. 1 (Feb., 1977), pp. 15-18
Published by: Taylor & Francis, Ltd. on behalf of American Statistical Association and American Society for Quality
Stable URL: http://www.jstor.org/stable/1268249
Page Count: 4
You can always find the topics here!Topics: Least squares, Statistical discrepancies, Point estimators, Linear regression, Statistical estimation, Remainders, Ellipsoids, Outliers, Datasets
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A new measure based on confidence ellipsoids is developed for judging the contribution of each data point to the determination of the least squares estimate of the parameter vector in full rank linear regression models. It is shown that the measure combines information from the studentized residuals and the variances of the residuals and predicted values. Two examples are presented.
Technometrics © 1977 American Statistical Association