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Bayesian analysis of variance components in a regression model when there is a restriction on the range of a coefficient

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Trabajos de estadistica y de investigacion operativa

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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Authors and Affiliations

  1. Ohio State University & Temple University, Ohio, USA

    P. A. V. B. Swamy & J. S. Mehta

Authors
  1. P. A. V. B. Swamy
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  2. J. S. Mehta
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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

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