On the optimization of the weighted Bickel-Rosenblatt test
Fateh Chebana
Statistics & Probability Letters, 2004, vol. 68, issue 4, 333-345
Abstract:
We consider Bickel-Rosenblatt tests of fit for a density f. Their asymptotic properties are studied under Pitman's local alternatives; we investigate their power functions. Our goal is to look for the best test in this class, by optimizing the power as done by Mason (Ann. Statist. 11 (1983) 317) in the context of minimax comparisons. This approach leads to a continuous versions of a [chi]2 type test. Finally a simulation study is presented.
Keywords: Goodness-of-fit; tests; Kernel; density; estimator; Weighted; L2-norm; Pitman's; efficiency (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(04)00108-7
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:68:y:2004:i:4:p:333-345
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 Catherine Liu ().