Lines through the origin—is NO INT the answer?
作者:
A. F. Bissell,
期刊:
Journal of Applied Statistics
(Taylor Available online 1992)
卷期:
Volume 19,
issue 2
页码: 193-210
ISSN:0266-4763
年代: 1992
DOI:10.1080/02664769200000016
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
The fitting of a straight line that must pass through (0, 0) is a frequently encountered application of linear regression. Many computer packages provide a least-squares option sometimes identified as NO INT, or even NOINT, or as ‘suppressing the intercept’. Often these procedures are invalid or do not correspond to the most suitable model. This paper questions the least-squares-line approach and suggests some alternatives. Two measures are proposed for comparing the fit of alternative models.
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