Document Type
Report
Source Publication Title
Technical Report 199
Abstract
The selection of variables in regression analysis is usually done by using preliminary tests. When it is doubtful whether the regression coefficients of a set of variables are equal to zero or not, one may use a significance test. When the test rejects the null hypothesis, the set of variables is retained in the model otherwise the set is deleted from the model. The preliminary test is usually an F test based on normal theory. This paper examines the robustness of the preliminary test in model selection by a Monte Carlo study.
Disciplines
Mathematics | Physical Sciences and Mathematics
Publication Date
5-1-1983
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Han, Chien-Pai, "A Study of Robustness of Preliminary Tests in Conditionally Specified Regression Models" (1983). Mathematics Technical Papers. 191.
https://mavmatrix.uta.edu/math_technicalpapers/191