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Covariance analysis of multiple linear regression equations Eekman, Gordon Clifford Duncan

Abstract

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.

Item Metadata

Title
Covariance analysis of multiple linear regression equations
Creator
Eekman, Gordon Clifford Duncan
Publisher
University of British Columbia
Date Issued
1969
Description
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.
Genre
Thesis/Dissertation
Type
Text
Language
eng
Date Available
2011-05-18
Provider
Vancouver : University of British Columbia Library
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.
DOI
10.14288/1.0102112
URI
http://hdl.handle.net/2429/34688
Degree (Theses)
Master of Science - MSc
Program (Theses)
Interdisciplinary Studies
Affiliation
Graduate and Postdoctoral Studies
Degree Grantor
University of British Columbia
Campus
UBCV
Scholarly Level
Graduate
Aggregated Source Repository
DSpace

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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.