The Box-Cox transform ation is widely used for obtaining an approximate normaly- distributed random variable.In a linear model setting,a responsive dependent variable Y(or transformed Y)is built on a set of independent variables,usually assumed to be measured with no error.This paper investigates the effects of measurement error in independent variables (known as errors-in-variables)on parameter estimate for the transformation.Ignoring such error in independent variables wil cause biased t ransformation parameter estimate ingeneral,a conclusion that is supported by analytical arguments and stochastical simulation.