BibTeX
CSL-JSON
MLA
Harvard
On The Comparison Of Several Goodness Of Fit Tests Under Simple Random Sampling And Ranked Set Sampling
release_ps7efjhm4fhznm2fmhozi2mhq4
by
F. Azna A. Shahabuddin, Kamarulzaman Ibrahim, Abdul Aziz Jemain
Published
by Zenodo.
2009
Abstract
Many works have been carried out to compare the
efficiency of several goodness of fit procedures for identifying
whether or not a particular distribution could adequately explain a
data set. In this paper a study is conducted to investigate the power
of several goodness of fit tests such as Kolmogorov Smirnov (KS),
Anderson-Darling(AD), Cramer- von- Mises (CV) and a proposed
modification of Kolmogorov-Smirnov goodness of fit test which
incorporates a variance stabilizing transformation (FKS). The
performances of these selected tests are studied under simple
random sampling (SRS) and Ranked Set Sampling (RSS). This
study shows that, in general, the Anderson-Darling (AD) test
performs better than other GOF tests. However, there are some
cases where the proposed test can perform as equally good as the
AD test.
In text/plain format
Archived Files and Locations
application/pdf 672.9 kB
file_e2mmz6brzjdbjmv57lgs4kyh64
|
zenodo.org (repository) web.archive.org (webarchive) |
Read Archived PDF
Preserved and Accessible
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
access all versions, variants, and formats of this works (eg, pre-prints)
Cite This
Lookup Links
oaDOI/unpaywall (OA fulltext)
Datacite Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar
Datacite Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar