Likelihood inference in the presence of nuisance parameters

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dc.creatorReid, N.
dc.creatorFraser, D. A. S.
dc.date2003-12-11
dc.date.accessioned2026-07-07T05:50:43Z
dc.date.available2026-07-07T05:50:43Z
dc.descriptionWe describe some recent approaches to likelihood based inference in the presence of nuisance parameters. Our approach is based on plotting the likelihood function and the $p$-value function, using recently developed third order approximations. Orthogonal parameters and adjustments to profile likelihood are also discussed. Connections to classical approaches of conditional and marginal inference are outlined.
dc.descriptionTalk from PhyStat2003, Stanford, Ca, USA, September 2003, 7 pages, LaTeX, 5 ps figures, PSN THAT001
dc.identifierhttps://arxiv.org/abs/physics/0312079
dc.identifierhttp://arxiv.org/abs/physics/0312079
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85797
dc.subjectData Analysis, Statistics and Probability
dc.titleLikelihood inference in the presence of nuisance parameters
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