A New Method for Examining Rounding Error in Least-Squares Regression Computer Programs
作者:
GaryM. Mullet,
TracyW. Murray,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1971)
卷期:
Volume 66,
issue 335
页码: 496-498
ISSN:0162-1459
年代: 1971
DOI:10.1080/01621459.1971.10482291
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A new, easily applied method for examining any least-squares computer program for internal consistency is given. Only one data set is necessary, and by making appropriate transformations on these data results are given to provide an internal check on the accuracy (or consistency) of the given program. Accuracy becomes an increasing problem, of course, when the original data set is ill-conditioned. The theorems and proofs necessary to the method are presented as well as a sample data set for illustrative purposes.
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