Liu, Yantong2012-12-102012-12-102012-12-10http://hdl.handle.net/2097/15157A robust estimation procedure for mixture errors-in-variables linear regression models is proposed in the report by assuming the error terms follow a t-distribution. The estimation procedure is implemented by an EM algorithm based on the fact that the t-distribution is a scale mixture of normal distribution and a Gamma distribution. Finite sample performance of the proposed algorithm is evaluated by some extensive simulation studies. Comparison is also made with the MLE procedure under normality assumption.en-USRobust estimationLinear errors-in-variables modelEM algorithmMixtureT-distributionReportStatistics (0463)