# Signed rank based empirical likelihood for the symmetric location model

*Xiaojie Du* and
*Anton Schick*

*Statistics & Probability Letters*, 2018, vol. 137, issue C, 40-45

**Abstract:**
An empirical likelihood approach with an increasing number of bounded signed rank based constraints is derived for inference about the center of symmetry in the symmetric location model. A Wilks type theorem is derived where the number of constraints is allowed to grow at the rate o(n2∕5). This rate is faster than the rate o(n1∕3) obtained in Hjort et al. (2009) and Peng and Schick (2013) for bounded constraints.

**Keywords:** Empirical likelihood with an increasing number of constraints; Wilks type theorem (search for similar items in EconPapers)

**Date:** 2018

**References:** View references in EconPapers View complete reference list from CitEc

**Citations** Track citations by RSS feed

**Downloads:** (external link)

http://www.sciencedirect.com/science/article/pii/S0167715218300063

Full text for ScienceDirect subscribers only

**Related works:**

This item may be available elsewhere in EconPapers: Search for items with the same title.

**Export reference:** BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text

**Persistent link:** https://EconPapers.repec.org/RePEc:eee:stapro:v:137:y:2018:i:c:p:40-45

**Ordering information:** This journal article can be ordered from

http://www.elsevier.com/wps/find/supportfaq.cws_home/regional

https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by *Somnath Datta* and *Hira L. Koul*

More articles in Statistics & Probability Letters from Elsevier

Bibliographic data for series maintained by Dana Niculescu ().