"There is often some uncertainty as to the exact number of predictors to include in the specification of the linear model when the theory of regression analysis is applied to specific data. To aid the experimenter in defining the correct number of predictors, a bias function that estimates the deviation of a linear model from the true model has been defined.
The writer has derived an accurate, economical, numerical method for calculating the bias function associated with an incompletely specified linear model and has tabulated bias function coefficients for a reasonable number of doubtful predictors"--Abstract, page ii.
Lee, Ralph E., 1921-2010
Winters, William K.
Bayless, Jerry R.
Zenor, Hughes M., 1908-2001
Mathematics and Statistics
M.S. in Applied Mathematics
University of Missouri at Rolla
v, 45 pages
© 1964 Harry Kerry Edwards, All rights reserved.
Thesis - Open Access
Print OCLC #
Link to Catalog Record
Edwards, Harry Kerry, "Estimation and tabulation of bias coefficients for regression analysis in incompletely specified linear models." (1964). Masters Theses. 5644.