Estimation and tabulation of bias coefficients for regression analysis in incompletely specified linear models.

Author

Harry Kerry Edwards

Abstract

"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.

Advisor(s)

Lee, Ralph E., 1921-2010

Committee Member(s)

Winters, William K.
Bayless, Jerry R.
Zenor, Hughes M., 1908-2001

Department(s)

Mathematics and Statistics

Degree Name

M.S. in Applied Mathematics

Publisher

University of Missouri at Rolla

Publication Date

1964

Pagination

v, 45 pages

Note about bibliography

Includes bibliographical references (page 44).

Rights

© 1964 Harry Kerry Edwards, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 1639

Print OCLC #

5959687

Recommended Citation

Edwards, Harry Kerry, "Estimation and tabulation of bias coefficients for regression analysis in incompletely specified linear models." (1964). Masters Theses. 5644.
https://scholarsmine.mst.edu/masters_theses/5644