Inference about the Intersection in Two-Phase Regression

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Abstract
We study the problem of estimating and making inferences about the intersection in a two-phase regression model with one independent variable. In particular we derive an asymptotic distribution for the maximum likelihood estimate of the intersection which is a good finite sample approximation. We also discuss the associated problems of testing hypotheses about the intersection.

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