Bayesian Estimation of a Linear Functional Relationship

Document Type : Original Article

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Abstract

In this paper we give a Bayesian analysis to a linear functional relationship using Jeffreys' invariance rule to choose the prior distribution for the unknown parameters. We study the problem in three different cases according to the given information about the variances of the observations.

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