dc.contributor.author | Spencer, Neil | |
dc.date.accessioned | 2010-07-28T08:31:41Z | |
dc.date.available | 2010-07-28T08:31:41Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Spencer , N 2009 , ' Overcoming the multiple-testing problem when testing randomness ' , Journal of the Royal Statistical Society: Series C - Applied Statistics , vol. 58 , no. 4 , pp. 543-553 . https://doi.org/10.1111/j.1467-9876.2009.00666.x | |
dc.identifier.issn | 0035-9254 | |
dc.identifier.other | dspace: 2299/4701 | |
dc.identifier.uri | http://hdl.handle.net/2299/4701 | |
dc.description | ‘The definitive version is available at www3.interscience.wiley.com '. Copyright The Royal Statistical Society and Blackwell Publishing Ltd. | |
dc.description.abstract | 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 that 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 by using data from a roulette wheel. | en |
dc.format.extent | 318898 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of the Royal Statistical Society: Series C - Applied Statistics | |
dc.subject | Mahalanobis distance | |
dc.subject | Random-number generators | |
dc.subject | Roulette | |
dc.subject | False discovery rate | |
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 | Centre for Research on Management, Economy and Society | |
dc.contributor.institution | Statistical Services Consulting Unit | |
dc.contributor.institution | Health Services and Medicine | |
dc.contributor.institution | Healthcare Management and Policy Research Unit | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1111/j.1467-9876.2009.00666.x | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |