A covariance analysis procedure which compares multiple linear regression equations is developed by extending the general linear hypothesis model of full rank to encompass heterogeneous data. A FORTRAN IV computer program tests parallelism and coincidence amongst sets of regression equations. By a practical example both the theory and the computer program are demonstrated. / Graduate and Postdoctoral Studies / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/34688 |
| Date | January 1969 |
| Creators | Eekman, Gordon Clifford Duncan |
| Publisher | University of British Columbia |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Rights | For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. |
Page generated in 0.0028 seconds