A Bayesian Approach to Calibration Intervals and Properly Calibrated Tolerance Intervals
作者： M. Hamada , A. Pohl , C. Spiegelman , J. Wendelberger
DOI: 10.1080/00224065.2003.11980207
关键词:
摘要: In this article we consider a Bayesian approach to inference in which there is calibration relationship between measured and true quantities of interest. One situation useful for unknowns inwhich intervals are obtained. The other when about population desired tolerance produced. easily handles general relationship, say nonlinear, with nonnormal errors. may also be general, lognormal, nonnegative. illustrated three examples implemented the freely available WinBUGS software.
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