Abstract
Robert 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 Two previously unpublished modifications are included.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 non-parametric confidence interval is obtained. Second, I introduce a technique for obtaining confidence intervals for the scale parameter of finite length in the logarithmic metric.
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© 1996 Kluwer Academic Publishers
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Rodríguez, C.C. (1996). Confidence Intervals from one Observation. In: Skilling, J., Sibisi, S. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0107-0_19
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DOI: https://doi.org/10.1007/978-94-009-0107-0_19
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6534-4
Online ISBN: 978-94-009-0107-0
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