The sequential sawyer – a tale of frequentist fright
Purpose – The editorial aims to illustrate a major weakness of frequentist estimation – overlooking prior beliefs that are clearly relevant. Design/methodology/approach – A hypothetical forecasting problem is considered in which a law-enforcement officer has to determine who will be the next victim in a coded sequence constructed by a serial killer. The frequentist method of maximum likelihood is used to select the underlying pattern. Findings – The example shows that it is quite possible for the maximum-likelihood approach to overlook an intuitively obvious model. Originality/value – The editorial provides a simple and clear example of the shortcomings of the maximum-likelihood principle.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 9 (2008)
Issue (Month): 4 (August)
|Contact details of provider:|| Web page: http://www.emeraldinsight.com |
|Order Information:|| Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK|
Web: http://emeraldgrouppublishing.com/products/journals/journals.htm?id=jrf Email:
When requesting a correction, please mention this item's handle: RePEc:eme:jrfpps:v:9:y:2008:i:4:p:313-316. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Louise Lister)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.