Confidence Intervals from One One Observation

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dc.creatorRodriguez, Carlos C.
dc.date1995-04-12
dc.date.accessioned2026-07-07T09:32:59Z
dc.date.available2026-07-07T09:32:59Z
dc.descriptionRobert Machol's surprising result, that from a single observation it is possible to have finite length confidence intervals for the parameters of location-scale models, is re-produced and extended. Two previously unpublished modifications are included. First, Herbert Robbins nonparametric confidence interval is obtained. Second, I introduce a technique for obtaining confidence intervals for the scale parameter of finite length in the logarithmic metric. Keywords: Theory/Foundations , Estimation, Prior Distributions, Non-parametrics & Semi-parametrics Geometry of Inference, Confidence Intervals, Location-Scale models
dc.descriptionLaTeX, 6 pages, 4 PostScript figures, MaxEnt94 macros. This paper will appear in the Proceedings of the 1994 Maximun Entropy and Bayesian Methods, Kluwer Academic Publishers. Author website: http://omega.albany.edu:8008/carlos/
dc.identifierhttps://arxiv.org/abs/bayes-an/9504001
dc.identifierhttp://arxiv.org/abs/bayes-an/9504001
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/158977
dc.subjectData Analysis, Statistics and Probability
dc.titleConfidence Intervals from One One Observation
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