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Bayesian methods in the analysis of the general linear model

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References

  • Albert, A.: An Introduction and Beginner’s Guide to Matrix Pseudo-Inverses. Arcon Report, Lexington, Massachusetts.

  • Box, G. E. P., andG. Tiao: Multiparameter Problems from a Bayesian Point of View. Annals of Mathematical Statistics, Sept. 1965.

  • Geisser, S., andJ. Cornfield: Posterior Distributions for Multivariate Normal Parameters J.R.S.S., B,25, pp. 368–376.

  • Graybill, T.: An Introduction to Linear Statistical Models. McGraw-Hill 1960.

  • Lindley, D. V.: Probability and Statistics from a Bayesian Point of View. Cambridge University Press 1964.

  • Raiffia andSchlaifer: Applied Statistical Decision Theory.

  • Rao, C. R.: Linear Statistical Inference and Its Applications. John Wiley and Sons.

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Authors and Affiliations

  1. Department of Biostatistics and Statistics, The Johns Hopkins University, USA

    C. A. Rohde

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  1. C. A. Rohde
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Paper Number 388 in the Department of Biostatistics, The Johns Hopkins University.

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Rohde, C.A. Bayesian methods in the analysis of the general linear model. Metrika 18, 220–226 (1972). https://doi.org/10.1007/BF02614252

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