Confidence estimation for tolerance intervals
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DOI: 10.1007/s10463-005-0008-6
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- James Berger & Elías Moreno & Luis Pericchi & M. Bayarri & José Bernardo & Juan Cano & Julián Horra & Jacinto Martín & David Ríos-Insúa & Bruno Betrò & A. Dasgupta & Paul Gustafson & Larry Wasserman &, 1994. "An overview of robust Bayesian analysis," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 3(1), pages 5-124, June.
- C. Andy Tsao & Yu-Ling Tseng, 2004. "A statistical treatment of the problem of division," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 59(3), pages 289-303, June.
- Di Bucchianico, A. & Einmahl, J.H.J. & Mushkudiani, N.A., 2001. "Smallest nonparametric tolerance regions," Other publications TiSEM 436f9be2-d0ad-49af-b6df-9, Tilburg University, School of Economics and Management.
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Keywords
Tolerance intervals; Infinite exchangeability; De Finetti’s representation theorem; Robust Bayesian analysis;All these keywords.
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