Estimation and testing for the common intersection point

The problems 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 for this problem are suggested, and the results of Monte Carlo simulation are reported. An example of isokinetic relationship in hexachlorobiphenyl is reviewed.