Bibliographic Details
| Title: |
COMBINING p-VALUES: A DEFINITIVE PROCESS |
| Authors: |
A. K. Md. Ehsanes Saleh, K. Ji |
| Contributors: |
The Pennsylvania State University CiteSeerX Archives |
| Superior Title: |
http://fisher.utstat.toronto.edu/dfraser/documents/253gal.pdf. |
| Collection: |
CiteSeerX |
| Description: |
summary In the Bayes approach the model-data summary is arguably the observed likelihood function; in the frequentist approach it is arguably a p-value function assessing a least squares or maximum-likelihood departure; and in the higherorder likelihood approach it is the observed likelihood together with a canonical reparameterization. For likelihood the obvious method of combining is to add log-likelihoods from independent sources: this is in the nature of likelihood itself and is also a an implicit Bayes imperative as only likelihood is used in the Bayesian argument. For the familiar frequentist approach the combining of p-values is often ad hoc: we discuss first a Fisher proposal and then offer a likelihood based alternative. For the higher order likelihood approach the combining begins with the standard summary, which is likelihood plus a canonical reparameterization: we develop the appropriate higher order combining procedure. For the p-value summary, Fisher (1973) proposed a quick and easy method for combining p-values from independent investigations: multiply them together and use |
| Document Type: |
text |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.7965; http://fisher.utstat.toronto.edu/dfraser/documents/253gal.pdf |
| Availability: |
http://fisher.utstat.toronto.edu/dfraser/documents/253gal.pdf |
| Rights: |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: |
edsbas.E437F620 |
| Database: |
BASE |
