Distribution selection in statistical simulation studies Page: 4 of 15
This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided to UNT Digital Library by the UNT Libraries Government Documents Department.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
3. Status quo. The distributions selected were
not defended. It is not uncommon to see
simulation studies reported with no comments
at all regarding the appropriateness of the
distributions selected. In one recent
situation, I managed to extract the follow-
ing "defense" that can be paraphrased as "I
see no reason why I should have to
demonstrate the usefulness or relevance of
the distributions included--I never have
before." This view may seem a bit extreme
but tifs into the old fashioned happy-go-
lucky mode of operation--include
distributions which can be generated rather
than what ought to be generated.
4. Novelty. The distributions selected had
never before been published and represented
a shot out of the blue. The novelty tactic
is useful in providing motivation for future
papers ("In a previous paper, the distribu-
tions developed here were found useful in a
simulation context."). Generally speaking,
information on new distributions included is
useful in interpreting the results of
simulation studies.
2. GENERAL GUIDELINES
Having ridiculed the above arguments for dis-
ribution selection, it seems appropriate to provide
some positive guidelines for developing rational
arguments. The following discussions outline schemes
corresponding to viable selection criteria.
Upcoming Pages
Here’s what’s next.
Search Inside
This article can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Article.
Johnson, M. E. Distribution selection in statistical simulation studies, article, January 1, 1986; New Mexico. (https://digital.library.unt.edu/ark:/67531/metadc1057706/m1/4/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.