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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.
Citation
Testing for the Common Intersection Point

Keywords

Error-in-variables, Iso-equilibrium point, Isokinetic hypothesis, Ranks based procedures, Regression analysis, Robustness

Citation

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 February 22, 2024)
Created August 22, 2007, Updated February 19, 2017