Goodness of fit testing using a specific density estimate
Albers Casper J. and
Schaafsma Willem
Additional contact information
Schaafsma Willem: University of Groningen, Department of Mathematics, Groningen, Niederlande
Statistics & Risk Modeling, 2008, vol. 26, issue 1, 3-23
Abstract:
To test the hypothesis H0: f=ψ that an unknown density f is equal to a specified one, ψ, an estimate f^ of f is compared with ψ. The total variation distance ∥ f^-ψ∥1 is used as test statistic.The density estimate f^ considered is a peculiar one. A table of critical values is provided, this table is applicable for arbitrary ψ.Relations with other methods, Neyman´s smooth tests in particular, are discussed and power comparisons are performed. In certain situations, our test is recommendable. An example from practice is provided.
Keywords: goodness of fit; Neyman smooth tests; power analysis (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1524/stnd.2008.0909 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:strimo:v:26:y:2008:i:1:p:3-23:n:2
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/strm/html
DOI: 10.1524/stnd.2008.0909
Access Statistics for this article
Statistics & Risk Modeling is currently edited by Robert Stelzer
More articles in Statistics & Risk Modeling from De Gruyter
Bibliographic data for series maintained by Peter Golla ().