Estimating the slope in measurement error models--a different perspective

Ori Davidov

Statistics & Probability Letters, 2005, vol. 71, issue 3, 215-223

Abstract: Motivated by a statistical model for the structural line segment relationship developed for computer vision applications we derive an estimator for the slope of a regression line in univariate measurement error models. We show that under the typical side conditions, this estimator coincides, in most cases, with the maximum likelihood estimator for the normal structural model. Its large sample properties are derived.

Keywords: Line-segment; structural; relationship; Measurement; error; Method; of; moments; Regression; slope (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (1)

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