Methods of fitting straight lines where both variables are subject to measurement error
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In this paper errors in variables methods for fitting straight lines to data are reviewed. In these methods the x and y variables are both assumed to be subject to measurement error and not, as in simple least squares linear regression, just one of them. The m... ...
