Noninformative Prior Bayesian Analysis for Statistical Calibration Problems
In simple linear regression, it is assumed that two variables are linearly related, with unknown intercept and slope parameters. In particular, a regressor variable is assumed to be precisely measurable, and a response is assumed to be a random variable whose mean depends on the regressor via a line...
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/27140 http://scholar.lib.vt.edu/theses/available/etd-042299-095037/ |