Summary
In this paper we have considered a linear regression model which contains two random components: an individual effect and a remainder. We have shown how, within a Bayesian framework, to analyze the variance components taking into account a restriction on the range of a coefficient. We have presented an example to illustrate our procedures.
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Swamy, P.A.V.B., Mehta, J.S. Bayesian analysis of variance components in a regression model when there is a restriction on the range of a coefficient. Trab. Estad. Invest. Oper. 24, 167–176 (1973). https://doi.org/10.1007/BF03013765
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DOI: https://doi.org/10.1007/BF03013765