Empirical likelihood for linear models under m -dependent errors

In this paper, the empirical likelihood confidence regions for the regression coefficient in a linear model are constructed under m-dependent errors. It is shown that the blockwise empirical likelihood is a good way to deal with dependent samples. Partly supported by the National Natural Science Foundation of China and the SF of Guangxi Normal University.