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Estimation and Testing for the Common Intersection Point
Published
Author(s)
Andrew L. Rukhin
Abstract
The problem of estimating a common intersection point from a collection of straight lines and of testing the hypothesis that such a point exists are considered. The relationship to the error-in-variables regression and to the intersection-union principle is explored. Robust rank-based procedures in this problem are reviewed, and the results of Monte-Carlo simulation are reported.
Rukhin, A.
(2007),
Estimation and Testing for the Common Intersection Point, Testing for the Common Intersection Point, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=50908
(Accessed April 18, 2024)