A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING

Tugrul Temel ()

No 20600, 2001 Annual meeting, August 5-8, Chicago, IL from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.

Keywords: Research; Methods/; Statistical; Methods (search for similar items in EconPapers)
Pages: 18
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/20600/files/sp01te05.pdf (application/pdf)

Related works:
Working Paper: A nonparametric hypothesis test via the Bootstrap resampling (2011)
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:ags:aaea01:20600

DOI: 10.22004/ag.econ.20600

Access Statistics for this paper

More papers in 2001 Annual meeting, August 5-8, Chicago, IL from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().