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Kent W. Smith

Researcher at Northwestern University

Publications -  4
Citations -  260

Kent W. Smith is an academic researcher from Northwestern University. The author has contributed to research in topics: Variables & Linear regression. The author has an hindex of 4, co-authored 4 publications receiving 244 citations.

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Decreasing Multicollinearity A Method for Models with Multiplicative Functions

TL;DR: In this paper, the authors proposed to reduce the multicollinearity among the independent variables in a regression model by centering these variables around minimizing constants before forming the multiplicative function.
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Analyzing Disproportionately Stratified Samples With Computerized Statistical Packages

TL;DR: In this paper, a generalized least-squares regression without unit-weighting is proposed for large stratified samples, at least for those with small sampling proportions from large populations with heteroscedastic errors.
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Another Look At the Clustering Perspective On Aggregation Problems

TL;DR: In this paper, the effects of aggregating on the within-group covariances between the residual and independent variables can be used to determine the effect of aggregation on the regression estimates.
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Test-Factor Standardization and Marginal Standardization

TL;DR: Rosenberg's test-factor standardization can be interpreted as a special type of marginal standardization as discussed by the authors, which is the zero-order table for a three-way table that has been standardized to the two-way margials which would exist for the independent and control variables if these variables were independent of each other in the data.