##Statistics Seminar##\\ Department of Mathematical Sciences ^ **DATE:**|Thursday, March 15, 2019 | ^ **TIME:**|1:15pm -- 2:15pm | ^ **LOCATION:**|WH 100E | ^ **SPEAKER:**|Mengyu Chen, Binghamton University | ^ **TITLE:**|Signed rank based empirical likelihood for the symmetric location mode | \\ **Abstract** The empirical likelihood approach was proposed by Owen to construct nonparametric confidence regions for finite dimensional parameters under a fixed number of known constrains. In this paper, an Wilks type theorem is derived where the number of constraints is allowed to grow at the rate o(n^(2/5)).