dc.contributor.author | Spencer, Neil | |
dc.date.accessioned | 2008-01-25T10:21:34Z | |
dc.date.available | 2008-01-25T10:21:34Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Spencer , N 2008 ' Overcoming the multiple testing problem when testing randomness ' Business School Working Papers , vol. UHBS 2008:1 , University of Hertfordshire . | |
dc.identifier.other | dspace: 2299/1406 | |
dc.identifier.uri | http://hdl.handle.net/2299/1406 | |
dc.description.abstract | In this paper we propose a new method for overcoming the problem of adjusting for the multiple testing problem in the context of testing random number generators. We suggest it is to be used in conjunction with an existing method. More generally, the method can be useful in other situations where the multiple testing issue is encountered and the tests involved are not independent of each other, and their exact joint distribution is not readily available. The method makes use of the Mahalanobis distance and simulation. An example of its implementation is given using data from a roulette wheel. | en |
dc.format.extent | 270325 | |
dc.language.iso | eng | |
dc.publisher | University of Hertfordshire | |
dc.relation.ispartofseries | Business School Working Papers | |
dc.title | Overcoming the multiple testing problem when testing randomness | en |
dc.contributor.institution | Department of Marketing and Enterprise | |
dc.contributor.institution | Social Sciences, Arts & Humanities Research Institute | |
dc.contributor.institution | Hertfordshire Business School | |
dc.contributor.institution | Statistical Services Consulting Unit | |
dc.contributor.institution | Health Services and Medicine | |
dc.contributor.institution | Healthcare Management and Policy Research Unit | |
rioxxterms.type | Working paper | |
herts.preservation.rarelyaccessed | true | |